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linkedin-mcp-server

Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.

stickerdanielstickerdaniel
59/ 100

公开评测 · 综合采用结论

存在需要人工复核的风险或证据不足

查看评测依据 评测我的项目基于公开项目证据,非安全认证或安装推荐
4.0kstars
711forks
最近更新 15天前
评测生成时间(北京时间)
本报告引擎
v3.17.3
当前引擎
v3.17.3

规则版本一致,但报告只反映生成时的证据,不代表项目代码和安全状态始终不变。

重新评测此项目

进入后确认来源与额度,提交才会创建任务。

核对代码版本与送评文本摘要

仅记录实际送评的受限文本,不是完整仓库审计、安装结果或运行时安全保证。Stars、下载量和仓库元数据为采集时的独立信号,不属于此 commit 快照。

stickerdaniel/linkedin-mcp-server @ 8ced54c11af9c8cfc394110f9a3f0457b48431fe

目录树:b68b50246457be364e3388b612e88fd3bd75304c

README 来源:README.md

  • README.md · 56443 字符
    SHA-256: ae4b92f4fe0e590b67fe77543be8fcf35882cbce7d4d144cc67b10a047b4221c
  • .agents/skills/1-triage-issues/SKILL.md · 7530 字符
    SHA-256: 72539fe2ad3e5de6a0c99f69e5f28ac927795b31eeb20dcb238cb7b09e4ef052
  • .agents/skills/2-repro-issue/SKILL.md · 7842 字符
    SHA-256: 3fb603cebc29ea2b1dcd7011ccdea8f369d280bdfc71754fa71fb5bfb29c46a5
  • .agents/skills/3-verify-pr-fix/SKILL.md · 7929 字符
    SHA-256: c5fd0b91e6cf54e9136411c99380177ce3ccd973308db3b846264ff7a2f1fb6a
  • .agents/skills/btca-local/SKILL.md · 2638 字符
    SHA-256: bd9322a4bae9eb702ba8db63865858a2ade65c3f5099f24aa18212d6b29e96b6
  • .agents/skills/issue-packet/SKILL.md · 4706 字符
    SHA-256: 0027d0324e46d59ab641a4f22da65165466cec8b7761130b52ab1e5526d0e0f3
  • .agents/skills/triage-reviews/SKILL.md · 5699 字符
    SHA-256: 473d97473b1fdfd28d821502ef2ffdbd7a563f24b5d5ec51fac58f0834450e70
  • plugins/linkedin-mcp-server/skills/linkedin-mcp/SKILL.md · 2616 字符
    SHA-256: 2395b61b6d7826efa742f297bc9d29d39502eb9a8d33d976009c193b4677435a
  • .env.example · 5364 字符
    SHA-256: 83fb3bdb55fe7dfbdebd7ededffc140ea178363c1d420b9d54f51e43cee36185
  • docker-compose.yml · 531 字符
    SHA-256: bf1515622f3b4aeeb92525b02190a60d3b81b30674caf294a151af9d91139c3f
  • Dockerfile · 3640 字符
    SHA-256: 130b6bb4cd7650b86836c741f9cfb3a6d515e4b0e75f5ac27807d554c64ab051
  • pyproject.toml · 5142 字符
    SHA-256: 974297d2f920fc026f45ffc924ea7f59c83822a90390a1c8cc4e3aef2ef3ca3d

摘要对应送评 UTF-8 文本,可能为限额节选,不等于 Git blob SHA。来源由采集方提供,摘要本身不证明来源真实性。

Evaluation report

综合采用结论

59
D
满分 100 · 静态采用参考
谨慎采用高风险
决策摘要

存在需要人工复核的风险或证据不足

100%
高置信度
100
文档
56
安全
84
质量
100
活跃
59
采用
  • 基础评测完成+25/25确定性评分与静态安全扫描已完成
  • README 有效证据+25/2531,105 个去重后的有效字符
  • 独立证据来源+20/208 类非重复证据,重复文件不叠加
  • 仓库元数据+10/10已取得仓库状态与采用数据
  • 活跃记录+5/5已取得最近提交时间
  • AI 复核+15/15已完成结构化 AI 证据复核

本报告评了什么

综合分用于静态采用筛选,不是任务成功率,也不代表使用 Skill 后的能力提升。

静态检查范围
记录 12 个文件 · 110,080 字符
只检查采集到的受限文本与已知风险模式;未读取的脚本、依赖和运行环境不在结论内。
AI 内容复核
已使用
复核送评文本的说明和设计,不是安装测试或实际任务执行。记录缺失时不推断已使用或未使用。
真实任务效果
本报告未提供实测证据
没有使用/不使用 Skill 的任务对照、重复运行或耗时与 token 成本结果。采用前仍需在隔离环境验证自己的任务。

脚本引用覆盖

已纳入文本静态扫描 0 项/未纳入 7 项

被选 Skill:.agents/skills/1-triage-issues/SKILL.md

仅检查被选 Skill 的直接脚本引用,一跳读取,不跟进 imports 或依赖;不执行脚本,脚本文本不送入 AI 质量复核。已纳入只表示文本已扫描,不代表安全。

仅统计本记录中的可识别引用;未纳入或未记录的部分保持未知,不按安全通过处理。

查看 7 项引用明细
  1. 1. 未找到文件

    引用位置:.agents/skills/1-triage-issues/SKILL.md:70

    目标路径:.agents/skills/1-triage-issues/linkedin/fields.py

    固定版本中未找到对应文件。

  2. 2. 动态引用

    引用位置:.agents/skills/1-triage-issues/SKILL.md:71

    目标含动态表达式,不能确定要读取的文件。

  3. 3. 未找到文件

    引用位置:.agents/skills/1-triage-issues/SKILL.md:71

    目标路径:.agents/skills/1-triage-issues/tests/test_fields.py

    固定版本中未找到对应文件。

  4. 4. 未找到文件

    引用位置:.agents/skills/1-triage-issues/SKILL.md:71

    目标路径:.agents/skills/1-triage-issues/tests/test_identifiers.py

    固定版本中未找到对应文件。

  5. 5. 未找到文件

    引用位置:.agents/skills/1-triage-issues/SKILL.md:71

    目标路径:.agents/skills/1-triage-issues/tests/test_link_metadata.py

    固定版本中未找到对应文件。

  6. 6. 未找到文件

    引用位置:.agents/skills/1-triage-issues/SKILL.md:71

    目标路径:.agents/skills/1-triage-issues/tests/linkedin/test_facade_*.py

    固定版本中未找到对应文件。

  7. 7. 未找到文件

    引用位置:.agents/skills/1-triage-issues/SKILL.md:79

    目标路径:.agents/skills/1-triage-issues/linkedin/extractor.py

    固定版本中未找到对应文件。

How it works · 时序图

首次工具调用的认证流程

涉及 MCP 客户端、服务器与本地浏览器三方请求与回调

AI 提取 · 证据约束

左右滑动查看完整图示

首次工具调用的认证流程涉及 MCP 客户端、服务器与本地浏览器三方请求与回调MCP 客户端发起工具调用LinkedIn MCP 服务器处理请求本地浏览器会话提供登录态调用 LinkedIn 工具复用或打开登录返回会话返回结果或认证中错误
图示依据
  • • 首次需要认证的工具调用会复用本地已登录浏览器会话,否则打开登录窗口
  • • 早期工具调用可能返回 setup/authentication-in-progress 错误,需重试
五维表现
LinkedIn MCP 服务器目标明确,多种安装方式与 CLI 参数齐全,可复现性较好;但工具清单与权限边界在节选中证据有限,设计细节需保守看待。
质量证据
  • 通过: Agent Skills 格式校验 7/7 个通过
  • 通过: 7 个有效 Skill 含可核实的指令步骤或示例
  • 质量评审选取 .agents/skills/1-triage-issues/SKILL.md;其余 6 个仅做格式扫描
  • Setup with uvx 章节给出 mcpServers JSON 配置与 UV_HTTP_TIMEOUT 参数
  • CLI options 列出 --login、--import-from-browser、--logout、--user-data-dir 等
  • Troubleshooting 说明首次工具调用可能返回认证进行中错误,需重试
  • Proxy 章节要求先设代理再 --login,否则触发 LinkedIn checkpoint
  • License 章节声明 Apache 2.0 并提供 NOTICE 归属
采用建议
优势
  • 问题与用途描述
  • 有效 README
  • 安装或接入步骤
  • 可执行示例
  • 通过: Agent Skills 格式校验 7/7 个通过
关注点
  • 发现高风险的一键下载执行或安装命令
  • .agents/skills/1-triage-issues/SKILL.md:description 未清楚说明何时使用该 Skill
  • .agents/skills/2-repro-issue/SKILL.md:description 未清楚说明何时使用该 Skill
  • .agents/skills/3-verify-pr-fix/SKILL.md:description 未清楚说明何时使用该 Skill
  • .agents/skills/issue-packet/SKILL.md:description 未清楚说明何时使用该 Skill
适合

需要让 AI 代理读取 LinkedIn 公开资料的研究者、希望复用本地浏览器登录态、避免重复登录的用户、使用 Claude Desktop、Cursor 或 Codex 的 MCP 客户端用户

不建议直接用于

需要完全离线或无浏览器环境运行的场景、要求细粒度权限控制与审计日志的企业部署

也有自己的公开项目?先看完证据,再用当前规则生成独立报告。

评测我的项目 →
文档证据
100/100
问题与用途描述10 分
有效 README12 分
安装或接入步骤14 分
可执行示例16 分
输入、参数或工具说明11 分
输出或结果说明9 分
限制、权限或边界12 分
错误处理或排障8 分
许可证信息5 分
结构化章节3 分
安全证据
高风险
发现高风险的一键下载执行或安装命令
unsafe-install-commandREADME.md:240high confidence
- Ensure you have uv installed: `curl -LsSf https://astral.sh/uv/install.sh | sh`

修复:固定版本与校验和,先下载审查再执行,避免管道直接交给 Shell。

发现高风险的一键下载执行或安装命令
unsafe-install-commandREADME.md:744high confidence
curl -LsSf https://astral.sh/uv/install.sh | sh

修复:固定版本与校验和,先下载审查再执行,避免管道直接交给 Shell。

优先改进清单
  1. 01固定版本与校验和,先下载审查再执行,避免管道直接交给 Shell。
  2. 02修复 .agents/skills/1-triage-issues/SKILL.md:description 未清楚说明何时使用该 Skill
  3. 03修复 .agents/skills/2-repro-issue/SKILL.md:description 未清楚说明何时使用该 Skill
  4. 04修复 .agents/skills/3-verify-pr-fix/SKILL.md:description 未清楚说明何时使用该 Skill
  5. 05修复 .agents/skills/issue-packet/SKILL.md:description 未清楚说明何时使用该 Skill
  6. 06修复 .agents/skills/triage-reviews/SKILL.md:description 未清楚说明何时使用该 Skill
方法、证据与局限展开
数据来源

GitHub Repository API

扫描范围

12 个文件 · 110,080 字符

评测引擎

v3.17.3 · AI 内容复核:已使用(deepseek-flash)

局限
  • 静态评测不会安装或执行项目代码
  • 安全扫描基于高信号文件与已知模式,不能替代人工审计
  • 流行度只反映采用程度,不代表安全或工程质量
  • 脚本覆盖仅针对被选 Skill 中可识别的直接引用;不递归分析依赖,不执行脚本,脚本未送入 AI 质量复核
  • 发现 7 个 Skill;质量复核只评审 .agents/skills/1-triage-issues/SKILL.md,其余 6 个仅做格式扫描

30 天热度趋势

README

MCP Server for LinkedIn

PyPI CI Status Release License

Give your AI agents access to LinkedIn through your own browser session. Read profiles, research companies, find jobs, and manage conversations and connection requests.

This is an independent open-source project, not affiliated with LinkedIn or Microsoft. LinkedIn is a trademark of LinkedIn Corporation, used here only to identify the service this software interacts with.


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Installation Methods - LinkedIn MCP Server

uvx Install MCP Bundle Codex Plugin Claude Code Plugin Cursor Plugin Docker

ToolDescription
get_person_profileRead profile sections such as experience, education, skills, projects, and posts.
get_my_profileRead your own profile, with the same section selection as other profiles.
connect_with_personSend a connection request with an optional note, or accept an incoming one.
get_sidebar_profilesFind recommended profile links, including people you may know.
get_inboxList recent inbox conversations, with links to open individual threads.
get_conversationRead a conversation's messages using a LinkedIn username or thread ID.
search_conversationsSearch messages by keyword and return links to matching conversation threads.
send_messageSend after confirmation; profile targets may open a new DM (#483).
get_company_profileRead company information, with optional sections for posts and open jobs.
get_company_postsRead recent posts from a company's feed, with links to the original posts.
search_companiesFind companies by keyword and return links to their LinkedIn profiles.
get_company_employeesFind company employees, optionally filtered by name, title, or skill.
search_jobsFind job postings by keyword and location, with job IDs for reading details.
get_saved_jobsList your saved job postings, with job IDs for looking up their details.
search_peopleFind people by keyword, location, connection degree, and current company.
get_job_detailsRead a job posting's description, requirements, and company details.
get_job_apply_urlCheck whether a job uses Easy Apply or links to an employer's application.
get_feedRead recent posts from your home feed, with links to the original posts.
search_postsSearch posts by keyword, optionally limited to the past day, week, or month.
close_sessionClose the shared browser session without deleting your saved login.


Setup with uvx (Recommended)

Prerequisites: Install uv.

Installation

Add to your MCP client's mcpServers configuration

{
  "mcpServers": {
    "mcp-server-linkedin": {
      "command": "uvx",
      "args": ["mcp-server-linkedin@latest"],
      "env": { "UV_HTTP_TIMEOUT": "300" }
    }
  }
}

The @latest tag turns on automatic updates, which keep the server working with LinkedIn's current page structure. The server starts quickly and prepares the shared Patchright Chromium browser cache in the background under ~/.linkedin-mcp/patchright-browsers. On the first tool call that needs authentication, it reuses a LinkedIn session from a signed-in local browser if it finds one, and otherwise opens a LinkedIn login browser window.

AI agent? Get a quick confirmation from the user before enabling automatic updates.

[!NOTE] Early tool calls may return a setup/authentication-in-progress error until browser setup or login finishes. If you prefer to create a session explicitly, run uvx mcp-server-linkedin@latest --login.

Setup Help

🔧 Configuration
Transport modes
  • Default (stdio): Standard communication for local MCP servers
  • Streamable HTTP: For a web-based MCP server
  • If no transport is specified, the server defaults to stdio
  • An interactive terminal without explicit transport shows a chooser prompt
CLI options

Session:

  • --login - Open a browser to sign in and save the session
  • --import-from-browser [BROWSER] - Reuse a session from a locally signed-in Chromium browser (chrome, chromium, brave, edge, arc, vivaldi, helium, yandex, whale, coccoc, opera, opera_gx, auto). Bare flag picks auto, the most recently used browser with a live LinkedIn session.
  • --auto-import / --no-auto-import - Import a session from a signed-in local browser on the first tool call that needs one, before falling back to manual login (default: on). Skipped in Docker, behind a proxy, and on a non-loopback HTTP bind. On macOS the keychain may prompt once.
  • --logout - Clear the stored session
  • --login-viewer - Docker only: show the --login browser at a token-protected URL on port 6080 (see Authentication)
  • --user-data-dir PATH - Browser profile directory (default: ~/.linkedin-mcp/profile). Rotating or clearing a session deletes this directory and its parent, which holds the stored cookies and derived profiles.
  • --claim-profile-root - Take over a profile directory the server will not claim on its own, such as one whose parent already holds other files. Needed once per directory.

Transport:

  • --transport {stdio,streamable-http} - Force the transport mode (default: stdio)
  • --host HOST / --port PORT / --path PATH - HTTP server address (defaults: 127.0.0.1, 8000, /mcp)

Timeouts:

  • --timeout MS - Timeout for a single page operation (default: 5000)
  • --tool-timeout SECONDS - Timeout for a whole tool call (default: 180). Raise it for calls that read many pages, slow networks, or a cold-start browser.
  • --login-timeout SECONDS - How long the login browser waits for you to finish signing in (default: 1800; 0 = no limit). --login-viewer ends the session after 30 minutes either way.
  • --login-inline-wait SECONDS - How long a tool call waits for a login to finish before telling the model to retry (default: 25, max 45; 0 = return at once)

Shared browser:

  • --browser-wait SECONDS - How long to wait for another server process to hand over the shared browser (default: 25, max 45; 0 = report busy at once). Only matters with several MCP clients running at once.
  • --browser-min-hold SECONDS - Shortest time this process keeps the shared browser before handing it over (default: 20). Clamped to 3 seconds below --browser-wait, so raise that one along with it. Higher means fewer browser restarts but longer waits for other clients.
  • --browser-idle-timeout SECONDS - Close an idle browser and release the profile after this long without a tool call (default: 600; 0 = keep it open)

Browser:

  • --no-headless - Show the browser window (useful for debugging)
  • --chrome-path PATH - Path to a Chrome/Chromium executable
  • --proxy-server URL - Route browser traffic through a proxy, as scheme://host:port. Set it up before --login; see Using a proxy.

Other:

  • --log-level {DEBUG,INFO,WARNING,ERROR} - Logging level (default: WARNING)
Import a session from your everyday browser

If you are already signed into LinkedIn in Chrome, Chromium, Brave, Edge, Arc, Vivaldi, Helium, Yandex, Naver Whale, Cốc Cốc, Opera, or Opera GX, you can skip the manual --login step and reuse that session:

# Auto-pick the most recently used browser with a live LinkedIn session
uvx mcp-server-linkedin@latest --import-from-browser
# Or target a specific browser
uvx mcp-server-linkedin@latest --import-from-browser brave

This reads the browser's LinkedIn cookies, validates them against your feed, and saves them to ~/.linkedin-mcp/profile/, the same place --login writes to. Notes:

  • With several signed-in browsers, the most recently used live LinkedIn session is tried first. If LinkedIn rejects it (revoked or remote-logged-out), the next most recent is tried automatically; the first the server accepts is imported. There is no prompt to pick. Pass a browser name to target one specifically.
  • On macOS the OS keychain may prompt to allow access to the browser's Safe Storage. Close the source browser first for the most reliable read.
  • Cookies protected by Chrome 127+ app-bound encryption (v20) cannot be decrypted without OS elevation; in that case use --login instead.
  • Imported cookies match a real login's on-disk set. The local server reads them back in full from the saved profile; the Docker bridge narrows to the same minimal auth subset it uses for a normal session.
HTTP mode and debugging

Basic Usage Examples:

# Run with debug logging
uvx mcp-server-linkedin@latest --log-level DEBUG

HTTP Mode Example (for web-based MCP clients):

uvx mcp-server-linkedin@latest --transport streamable-http --host 127.0.0.1 --port 8080 --path /mcp

Runtime server logs are emitted by FastMCP/Uvicorn.

Tool calls are serialized to protect the shared LinkedIn browser session, both within one server process and across separate ones. If you run several MCP clients at once, each starts its own server process, and only one of them uses the browser at a time; the others wait briefly and take over as soon as it finishes a call. A client that waits too long gets a "browser is busy" message and can simply retry. Use --log-level DEBUG to see the wait/acquire/release logs.

This covers processes on the same machine and in the same runtime. It does not extend between the host and a Docker container sharing the same ~/.linkedin-mcp directory, so do not run --login or --logout on the host while a container is running.

Test with mcp inspector:

  1. Install and run mcp inspector bunx @modelcontextprotocol/inspector
  2. Click pre-filled token url to open the inspector in your browser
  3. Select Streamable HTTP as Transport Type
  4. Set URL to http://localhost:8080/mcp
  5. Connect
  6. Test tools
❗ Troubleshooting
Installation issues
  • Ensure you have uv installed: curl -LsSf https://astral.sh/uv/install.sh | sh
  • Check uv version: uv --version (should be 0.4.0 or higher)
  • On first run, uvx downloads all Python dependencies. On slow connections, uv's default 30s HTTP timeout may be too short. The recommended config above already sets UV_HTTP_TIMEOUT=300 (seconds) to avoid this.
  • Windows, DLL load failed while importing _greenlet: move to greenlet 3.5.5 or newer, whose published Windows wheels carry the C++ runtime inside the extension again. A fresh uvx run resolves that on its own; an environment that pins its dependencies needs uv lock --upgrade-package greenlet. Only greenlet 3.3.1 through 3.5.4 need MSVCP140.dll, which neither the python.org installer nor the uv-managed builds carry, and a greenlet built from source can need it at any version. Where the version cannot be moved, the Microsoft Visual C++ Redistributable supplies that DLL. Reported as greenlet#525, fixed in greenlet#526.
Session issues
  • Browser profile is stored at ~/.linkedin-mcp/profile/
  • Managed browser downloads are cached at ~/.linkedin-mcp/patchright-browsers/
  • The browser cache keeps growing: a server upgrade can bring a new Chromium revision, and Patchright keeps the old one for as long as any installed version still references it. uvx keeps one archive per version you have ever run, so every one of them holds such a reference and the old revisions stay. The server logs a warning naming the revisions it is holding and how much space they take. To reclaim it, stop every LinkedIn MCP Server instance, delete ~/.linkedin-mcp/patchright-browsers/, and let the next launch download the current browser.
Login issues
  • Make sure you have only one active LinkedIn session at a time
  • LinkedIn may require a login confirmation in the LinkedIn mobile app for --login
  • LinkedIn may show a captcha challenge during login. Run uvx mcp-server-linkedin@latest --login which opens a browser where you can solve it manually.
Timeout issues
  • Page operations failing (elements not found, navigation hangs): increase the browser page-op timeout: --timeout 10000 or TIMEOUT=10000 (milliseconds, default 5000).
  • Entire tool calls timing out (e.g. multi-section profiles, cold-start Chromium, slow containers): increase the per-tool execution timeout: --tool-timeout 300 or TOOL_TIMEOUT=300 (seconds, default 180).
  • First tool call with no session: if a locally logged-in browser has a live LinkedIn session, the server auto-imports it (see AUTO_IMPORT_FROM_BROWSER / --auto-import) instead of forcing a manual login. On macOS the keychain may prompt once for Safe Storage access. If no importable browser session exists, it falls back to opening a login window and waits up to LOGIN_INLINE_WAIT seconds (default 25, max 45; --login-inline-wait) so a quick sign-in resolves in one call. If the wait elapses, the tool returns a pending signal and the model retries in about 30 seconds. Neither the auto-import nor the inline wait applies under Docker or when the server is bound to a non-loopback HTTP host. Create the session on the host with --login, or use the explicit Docker --login --login-viewer command.
  • Users on slow connections may need higher values for either.
Told to run --login on the host when you already did
  • If tool calls answer "No valid LinkedIn session is available in Docker" on a machine that is not a container, the runtime was misdetected. This happened on Linux hosts running a Docker daemon for unrelated services. Set LINKEDIN_MCP_CONTAINER=false to override the detection; true forces the opposite.
Custom Chrome path
  • If Chrome is installed in a non-standard location, use --chrome-path /path/to/chrome
  • Can also set via environment variable: CHROME_PATH=/path/to/chrome
  • On macOS and Linux the browser must be at least as new as the one that last opened your profile, and the server refuses the launch otherwise. (Not on Windows: a browser there cannot be asked its version without starting one, so the check is off.) An older browser can silently drop stores a newer one wrote, the saved session among them, and the failure then looks exactly like an expired login. The message names both versions. Going back to the bundled Chromium after running a newer Chrome once is the usual way to meet this; either run the newer browser again, whichever one that was, or run --login, which moves the stored session aside and signs in fresh with the browser you have. --logout also clears it but discards the old session instead of keeping it recoverable, and it asks for confirmation on the terminal, so it is not usable from a server an MCP client started.
  • Only Chrome, Chromium and Chrome for Testing are compared this way. Forks number themselves differently (Vivaldi is on 7.x, Edge's build number sits far below Chrome's under the same major), so pointing CHROME_PATH at one turns the check off rather than producing a refusal nothing could satisfy.


Claude Desktop MCP Bundle (formerly DXT)

Prerequisites: Claude Desktop.

Installation

  1. Download the latest .mcpb artifact from releases
  2. Click the downloaded .mcpb file to install it into Claude Desktop
  3. Call any LinkedIn tool

On startup, the MCP Bundle prepares the shared Patchright Chromium browser cache in the background. On the first tool call that needs authentication, the server reuses a LinkedIn session from a signed-in local browser if it finds one, and otherwise opens a LinkedIn login browser window.

[!NOTE] Early tool calls may return a setup/authentication-in-progress error until browser setup or login finishes. Retry the tool call once the browser download or sign-in completes.

Setup Help

❗ Troubleshooting
First-time setup behavior
  • Claude Desktop starts the bundle immediately; browser setup continues in the background
  • If the Patchright Chromium browser is still downloading, retry the tool after a short wait
  • Managed browser downloads are shared under ~/.linkedin-mcp/patchright-browsers/
  • The browser cache keeps growing: Patchright keeps an old Chromium revision for as long as any installed version still references it, so an upgrade can leave both on disk. The server logs a warning naming what it holds. To reclaim the space, stop every LinkedIn MCP Server instance, delete ~/.linkedin-mcp/patchright-browsers/, and let the next launch download the current browser.
  • Windows, the bundle exits with DLL load failed while importing _greenlet: install the Microsoft Visual C++ Redistributable, or reinstall a bundle pinning greenlet 3.5.5 or newer, whose published Windows wheels carry the C++ runtime inside the extension again. A bundle pinning greenlet 3.3.1 through 3.5.4 needs MSVCP140.dll from that redistributable, which neither the python.org installer nor the uv-managed builds carry, and a greenlet built from source can need it at any version. The server names this itself on startup, and only after checking that the loader cannot produce that DLL. Reported as greenlet#525, fixed in greenlet#526.
Login issues
  • Make sure you have only one active LinkedIn session at a time
  • LinkedIn may require a login confirmation in the LinkedIn mobile app for --login
  • LinkedIn may show a captcha challenge during login. Run uvx mcp-server-linkedin@latest --login which opens a browser where you can solve captchas manually. See the uvx setup for prerequisites.
Timeout issues
  • Page operations failing (elements not found, navigation hangs): increase the browser page-op timeout: --timeout 10000 or TIMEOUT=10000 (milliseconds, default 5000).
  • Entire tool calls timing out (e.g. multi-section profiles, cold-start Chromium, slow containers): increase the per-tool execution timeout: --tool-timeout 300 or TOOL_TIMEOUT=300 (seconds, default 180).
  • First tool call with no session: if a locally logged-in browser has a live LinkedIn session, the server auto-imports it (see AUTO_IMPORT_FROM_BROWSER / --auto-import) instead of forcing a manual login. On macOS the keychain may prompt once for Safe Storage access. If no importable browser session exists, it falls back to opening a login window and waits up to LOGIN_INLINE_WAIT seconds (default 25, max 45; --login-inline-wait) so a quick sign-in resolves in one call. If the wait elapses, the tool returns a pending signal and the model retries in about 30 seconds. Neither the auto-import nor the inline wait applies under Docker or when the server is bound to a non-loopback HTTP host. Create the session on the host with --login, or use the explicit Docker --login --login-viewer command.
  • Users on slow connections may need higher values for either.
Told to run --login on the host when you already did
  • If tool calls answer "No valid LinkedIn session is available in Docker" on a machine that is not a container, the runtime was misdetected. This happened on Linux hosts running a Docker daemon for unrelated services. Set LINKEDIN_MCP_CONTAINER=false to override the detection; true forces the opposite.


Codex Plugin

Prerequisites: Codex and uv.

Installation

Run in a terminal

codex plugin marketplace add stickerdaniel/linkedin-mcp-server
codex plugin add linkedin-mcp-server@linkedin-mcp-server

The plugin runs the latest server release. On the first tool call that needs authentication, the server reuses a LinkedIn session from a signed-in local browser or opens a login window.

[!NOTE] Early tool calls may return a setup/authentication-in-progress error until browser setup or login finishes. Retry the tool call once the browser download or sign-in completes.



Claude Code Plugin

Prerequisites: Claude Code and uv.

Installation

Run in a terminal

claude plugin marketplace add stickerdaniel/linkedin-mcp-server
claude plugin install linkedin-mcp-server@linkedin-mcp-server

The plugin runs the latest server release. On the first tool call that needs authentication, the server reuses a LinkedIn session from a signed-in local browser or opens a login window.

[!NOTE] Early tool calls may return a setup/authentication-in-progress error until browser setup or login finishes. Retry the tool call once the browser download or sign-in completes.



Cursor Plugin

Prerequisites: Cursor and uv on your PATH.

Installation

From the Cursor Marketplace: open Customize in the sidebar, search for LinkedIn MCP, and choose Install. The plugin bundles the LinkedIn skill.

One-click MCP install (server only, without the skill):

Add to Cursor

Both run the latest server release. On the first tool call that needs authentication, the server reuses a LinkedIn session from a signed-in local browser or opens a login window.

[!NOTE] Early tool calls may return a setup/authentication-in-progress error until browser setup or login finishes. Retry the tool call once the browser download or sign-in completes.



Setup with Docker

I know what I'm doing

Prerequisites: Make sure Docker is installed and running.

Authentication

Log in once. The container opens a LinkedIn login browser that you drive from your own browser tab.

macOS / Linux:

# Create the directory first so the container can save your session into it
mkdir -p ~/.linkedin-mcp
docker run -it --rm \
  -v ~/.linkedin-mcp:/home/pwuser/.linkedin-mcp \
  -p 127.0.0.1:6080:6080 \
  stickerdaniel/linkedin-mcp-server:latest \
  --login --login-viewer

PowerShell (Windows):

$sessionDir = Join-Path $env:USERPROFILE ".linkedin-mcp"
New-Item -ItemType Directory -Force -Path $sessionDir | Out-Null
docker run -it --rm `
  -v "${sessionDir}:/home/pwuser/.linkedin-mcp" `
  -p 127.0.0.1:6080:6080 `
  stickerdaniel/linkedin-mcp-server:latest `
  --login --login-viewer

Open the full URL the command prints (it carries the access token) and sign in. Ctrl+V (Cmd+V on a Mac) pastes plain ASCII text, such as a password from your password manager, into the login browser. The viewer closes itself afterwards; let the command exit on its own so the session is stored completely. It gives up after 30 minutes.

Keep the same host directory mounted at /home/pwuser/.linkedin-mcp on every later docker run, otherwise the server cannot find the session.

Add to your MCP client's mcpServers configuration

macOS / Linux (absolute path in JSON):

{
  "mcpServers": {
    "mcp-server-linkedin": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-v", "/absolute/path/to/.linkedin-mcp:/home/pwuser/.linkedin-mcp",
        "stickerdaniel/linkedin-mcp-server:latest"
      ]
    }
  }
}

Spell that first path out in full. A client runs docker directly rather than through a shell, so a leading ~ reaches Docker unexpanded and it refuses the mount.

PowerShell (Windows): use a forward-slash JSON path. A backslash path like C:\Users\Alice\.linkedin-mcp fails JSON parsing because \U is an invalid escape. Use C:/Users/Alice/.linkedin-mcp instead, replacing Alice with your username.

{
  "mcpServers": {
    "mcp-server-linkedin": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-v", "C:/Users/Alice/.linkedin-mcp:/home/pwuser/.linkedin-mcp",
        "stickerdaniel/linkedin-mcp-server:latest"
      ]
    }
  }
}

[!NOTE] In PowerShell, ~ is not expanded inside a composite Docker -v argument. Use C:/Users/<you>/.linkedin-mcp or build the path with $env:USERPROFILE\.linkedin-mcp before passing it to Docker.

[!NOTE] Sessions expire over time. When tool calls start asking for authentication, repeat the login command above, or run uvx mcp-server-linkedin@latest --login on the host.

Setup Help

🔧 Configuration
Transport modes
  • Default (stdio): Standard communication for local MCP servers
  • Streamable HTTP: For a web-based MCP server
  • If no transport is specified, the server defaults to stdio
  • An interactive terminal without explicit transport shows a chooser prompt
CLI options

Session:

  • --auto-import / --no-auto-import - Import a session from a signed-in local browser on the first tool call that needs one, before falling back to manual login (ignored in Docker). On macOS the keychain may prompt once.
  • --logout - Clear the stored session and every profile derived from it
  • --login-viewer - With --login, show the login browser at a token-protected URL on port 6080. Needs the profile mount from Authentication.
  • --user-data-dir PATH - Browser profile directory (default: ~/.linkedin-mcp/profile). Rotating or clearing a session deletes this directory and its parent, which holds the stored cookies and derived profiles.
  • --claim-profile-root - Take over a profile directory the server will not claim on its own, such as one whose parent already holds other files. Needed once per directory.

Transport:

  • --transport {stdio,streamable-http} - Force the transport mode (default: stdio)
  • --host HOST / --port PORT / --path PATH - HTTP server address (defaults: 127.0.0.1, 8000, /mcp)

Timeouts:

  • --timeout MS - Timeout for a single page operation (default: 5000)
  • --tool-timeout SECONDS - Timeout for a whole tool call (default: 180). Raise it for calls that read many pages, slow networks, or a cold-start browser.
  • --login-timeout SECONDS - How long the login browser waits for you to finish signing in (default: 1800; 0 = no limit). --login-viewer ends the session after 30 minutes either way.
  • --login-inline-wait SECONDS - How long a tool call waits for a login to finish before telling the model to retry (default: 25, max 45; 0 = return at once)

Shared browser:

  • --browser-wait SECONDS - How long to wait for another server process to hand over the shared browser (default: 25, max 45; 0 = report busy at once). Only matters with several MCP clients running at once.
  • --browser-min-hold SECONDS - Shortest time this process keeps the shared browser before handing it over (default: 20). Clamped to 3 seconds below --browser-wait, so raise that one along with it. Higher means fewer browser restarts but longer waits for other clients.
  • --browser-idle-timeout SECONDS - Close an idle browser and release the profile after this long without a tool call (default: 600; 0 = keep it open)

Browser:

  • --chrome-path PATH - Path to a Chrome/Chromium executable (rarely needed in Docker)
  • --proxy-server URL - Route browser traffic through a proxy, as scheme://host:port. Set it up before --login; see Using a proxy.

Other:

  • --log-level {DEBUG,INFO,WARNING,ERROR} - Logging level (default: WARNING)

[!NOTE] Plain --login still has no visible window in Docker. Add --login-viewer and publish 127.0.0.1:6080:6080 only for the one-shot login command. Docker is already headed by default, so --no-headless changes nothing. The experimental --daemon is ignored in Docker because its owner can outlive the virtual display.

HTTP mode

HTTP Mode Example (for web-based MCP clients):

Bash / macOS / Linux:

docker run -it --rm \
  -v ~/.linkedin-mcp:/home/pwuser/.linkedin-mcp \
  -p 127.0.0.1:8080:8080 \
  stickerdaniel/linkedin-mcp-server:latest \
  --transport streamable-http --host 0.0.0.0 --port 8080 --path /mcp

PowerShell (Windows):

$sessionDir = Join-Path $env:USERPROFILE ".linkedin-mcp"
docker run -it --rm `
  -v "${sessionDir}:/home/pwuser/.linkedin-mcp" `
  -p 127.0.0.1:8080:8080 `
  stickerdaniel/linkedin-mcp-server:latest `
  --transport streamable-http --host 0.0.0.0 --port 8080 --path /mcp

Both halves of that are needed, and they do different jobs. --host 0.0.0.0 makes the server reachable inside the container: a process bound to 127.0.0.1 in there cannot be reached through a published port at all. The 127.0.0.1: in front of -p is what limits it outside, to this machine. Drop that prefix and Docker publishes on every interface, which puts an endpoint with no authentication on your network. The server cannot tell the two apart, so it warns either way.

Loopback publishing limits this to the machine, not to the container. Other containers on the same host can still reach it through host.docker.internal wherever that name resolves, which is the default on Docker Desktop and OrbStack but not on native Linux Docker.

Runtime server logs are emitted by FastMCP/Uvicorn.

The HTTP server answers requests addressed to localhost or to the address it is bound to, and refuses others with 421. That is what stops a website you merely visit from pointing a domain at this server and using your LinkedIn session through your own browser.

Reaching the server by any other name is refused, including a machine name on your network and the public name in front of a reverse proxy. Either have the proxy rewrite the upstream Host to the backend address, or name the host you serve it under:

FASTMCP_HTTP_ALLOWED_HOSTS='["mcp.example"]'

That permits exactly that name and keeps refusing everything else. The endpoint still has no authentication, so anything reachable beyond your own machine belongs behind something that provides it.

Test with mcp inspector:

  1. Install and run mcp inspector bunx @modelcontextprotocol/inspector
  2. Click pre-filled token url to open the inspector in your browser
  3. Select Streamable HTTP as Transport Type
  4. Set URL to http://localhost:8080/mcp
  5. Connect
  6. Test tools
❗ Troubleshooting
Docker issues
  • Make sure Docker is installed
  • Check if Docker is running: docker ps
  • Permission errors on ~/.linkedin-mcp: an older rootful Docker run may have created the directory as root. Fix it with sudo chown -R "$(id -u):$(id -g)" ~/.linkedin-mcp.
Login issues
  • Make sure you have only one active LinkedIn session at a time
  • LinkedIn may require a login confirmation in the LinkedIn mobile app for --login
  • LinkedIn may show a captcha challenge during login. Run uvx mcp-server-linkedin@latest --login which opens a browser where you can solve captchas manually. See the uvx setup for prerequisites.
  • If Docker auth becomes stale after you re-login on the host, restart Docker once so it can fresh-bridge from the new source session generation.
Timeout issues
  • Page operations failing (elements not found, navigation hangs): increase the browser page-op timeout: --timeout 10000 or TIMEOUT=10000 (milliseconds, default 5000).
  • Entire tool calls timing out (e.g. multi-section profiles, cold-start Chromium, slow containers): increase the per-tool execution timeout: --tool-timeout 300 or TOOL_TIMEOUT=300 (seconds, default 180).
  • First tool call with no session: if a locally logged-in browser has a live LinkedIn session, the server auto-imports it (see AUTO_IMPORT_FROM_BROWSER / --auto-import) instead of forcing a manual login. On macOS the keychain may prompt once for Safe Storage access. If no importable browser session exists, it falls back to opening a login window and waits up to LOGIN_INLINE_WAIT seconds (default 25, max 45; --login-inline-wait) so a quick sign-in resolves in one call. If the wait elapses, the tool returns a pending signal and the model retries in about 30 seconds. Neither the auto-import nor the inline wait applies under Docker or when the server is bound to a non-loopback HTTP host. Create the session on the host with --login, or use the explicit Docker --login --login-viewer command.
  • Users on slow connections may need higher values for either.
Told to run --login on the host when you already did
  • If tool calls answer "No valid LinkedIn session is available in Docker" on a machine that is not a container, the runtime was misdetected. This happened on Linux hosts running a Docker daemon for unrelated services. Set LINKEDIN_MCP_CONTAINER=false to override the detection; true forces the opposite.
Custom Chrome path
  • If Chrome is installed in a non-standard location, use --chrome-path /path/to/chrome
  • Can also set via environment variable: CHROME_PATH=/path/to/chrome
  • On macOS and Linux the browser must be at least as new as the one that last opened your profile, and the server refuses the launch otherwise. (Not on Windows: a browser there cannot be asked its version without starting one, so the check is off.) An older browser can silently drop stores a newer one wrote, the saved session among them, and the failure then looks exactly like an expired login. The message names both versions. Going back to the bundled Chromium after running a newer Chrome once is the usual way to meet this; either run the newer browser again, whichever one that was, or run --login, which moves the stored session aside and signs in fresh with the browser you have. --logout also clears it but discards the old session instead of keeping it recoverable, and it asks for confirmation on the terminal, so it is not usable from a server an MCP client started.
  • Only Chrome, Chromium and Chrome for Testing are compared this way. Forks number themselves differently (Vivaldi is on 7.x, Edge's build number sits far below Chrome's under the same major), so pointing CHROME_PATH at one turns the check off rather than producing a refusal nothing could satisfy.
  • In the documented Docker setup this check does not apply. The container never opens the profile you created with --login; it derives its own from your cookies, and by default rebuilds that from scratch on every start, so there is nothing for an older image to downgrade. With EXPERIMENTAL_PERSIST_DERIVED_RUNTIME the derived profile is kept, and an image tag that moves backwards then throws it away and re-derives it, again with nothing for you to do. The check matters on the host, where the server opens that profile directly. Not during --login itself, which moves the old profile aside before it starts a browser and so can never trip it.


Using a proxy

LinkedIn scores the address a session signs in from. Your account's usual IP address is the safe one. You should use a proxy in your country when the server cannot use it: a VPS, another country, or a second account that must not share the first one's address.

With a paid provider, use a sticky residential session that holds one address (never per-request rotation). A WireGuard full tunnel or Tailscale exit node on your home network works when the server should use your usual home address.

Setup Help

🔧 Configuration
  • Set the proxy up before --login. Moving an existing session to a new address triggers a LinkedIn checkpoint. That includes a session from --import-from-browser, which was created on your real address.
  • --proxy-server scheme://host:port or PROXY_SERVER, with http, https, socks4 or socks5. Only browser traffic is routed, not the MCP transport.
  • Pass credentials through PROXY_USERNAME and PROXY_PASSWORD, or include them in PROXY_SERVER using the combined http://user:pass@host:port form. The combined form is not accepted by the --proxy-server CLI option.
  • PROXY_BYPASS=localhost,127.0.0.1,::1 reaches local targets directly. With a proxy set, Chromium routes localhost through it too.
❗ Troubleshooting
  • Chromium cannot authenticate to a SOCKS proxy, so credentials require an http(s) endpoint. If your provider only offers authenticated SOCKS5, run a local relay that holds the credentials and point the server at that.
  • A wrong proxy password shows up as a timeout or a failed sign-in, because Chromium retries the authentication challenge until the page times out. If sessions stop working right after you add a proxy, check the proxy credentials first.
  • Auto-import is skipped while a proxy is configured: the imported session would move from your real address to the proxy. Use --login.
  • Inside a container 127.0.0.1 is the container itself, so a relay on the host is host.docker.internal; native Linux Docker also needs --add-host=host.docker.internal:host-gateway.


Setup from Source (Develop & Contribute)

Contributions are welcome. See CONTRIBUTING.md for architecture guidelines and checklists. Search existing issues first, then use the issue forms for anything new. AI agents follow the issue-packet skill.

Prerequisites: Git and uv installed

Installation

Run in a terminal

# 1. Clone repository
git clone https://github.com/stickerdaniel/linkedin-mcp-server
cd linkedin-mcp-server

# 2. Install UV package manager (if not already installed)
curl -LsSf https://astral.sh/uv/install.sh | sh

# 3. Install dependencies
uv sync
uv sync --group dev

# 4. Install pre-commit hooks
uv run pre-commit install

# 5. Start the server
uv run -m linkedin_mcp_server

Setup Help

🔧 Configuration
CLI options

Session:

  • --login - Open a browser to sign in and save the session
  • --import-from-browser [BROWSER] - Reuse a session from a locally signed-in Chromium browser (chrome, chromium, brave, edge, arc, vivaldi, helium, yandex, whale, coccoc, opera, opera_gx, auto). Bare flag picks auto, the most recently used browser with a live LinkedIn session.
  • --auto-import / --no-auto-import - Import a session from a signed-in local browser on the first tool call that needs one, before falling back to manual login (default: on). Skipped in Docker, behind a proxy, and on a non-loopback HTTP bind. On macOS the keychain may prompt once.
  • --status - Check whether the stored session is valid, then exit
  • --logout - Clear the stored session
  • --user-data-dir PATH - Browser profile directory (default: ~/.linkedin-mcp/profile). Rotating or clearing a session deletes this directory and its parent, which holds the stored cookies and derived profiles.
  • --claim-profile-root - Take over a profile directory the server will not claim on its own, such as one whose parent already holds other files. Needed once per directory.

Transport:

  • --transport {stdio,streamable-http} - Force the transport mode (default: stdio)
  • --host HOST / --port PORT / --path PATH - HTTP server address (defaults: 127.0.0.1, 8000, /mcp)

Timeouts:

  • --timeout MS - Timeout for a single page operation (default: 5000)
  • --tool-timeout SECONDS - Timeout for a whole tool call (default: 180). Raise it for calls that read many pages, slow networks, or a cold-start browser.
  • --login-timeout SECONDS - How long the login browser waits for you to finish signing in (default: 1800; 0 = no limit). --login-viewer ends the session after 30 minutes either way.
  • --login-inline-wait SECONDS - How long a tool call waits for a login to finish before telling the model to retry (default: 25, max 45; 0 = return at once)

Shared browser:

  • --browser-wait SECONDS - How long to wait for another server process to hand over the shared browser (default: 25, max 45; 0 = report busy at once). Only matters with several MCP clients running at once.
  • --browser-min-hold SECONDS - Shortest time this process keeps the shared browser before handing it over (default: 20). Clamped to 3 seconds below --browser-wait, so raise that one along with it. Higher means fewer browser restarts but longer waits for other clients.
  • --browser-idle-timeout SECONDS - Close an idle browser and release the profile after this long without a tool call (default: 600; 0 = keep it open)

Browser:

  • --no-headless - Show the browser window (useful for debugging)
  • --slow-mo MS - Delay between browser actions (default: 0, useful for debugging)
  • --viewport WxH - Viewport size (default: 1280x720). Applies to windowless mode only; a headed launch uses the real window size.
  • --chrome-path PATH - Path to a Chrome/Chromium executable
  • --installer-temp-dir PATH - Existing directory for browser installation temporary files (environment: INSTALLER_TEMP_DIR).
  • --proxy-server URL - Route browser traffic through a proxy, as scheme://host:port. Set it up before --login; see Using a proxy.

Other:

  • --log-level {DEBUG,INFO,WARNING,ERROR} - Logging level (default: WARNING)
  • --help - Show help

Note: Most CLI options have environment variable equivalents. See .env.example for details.

HTTP mode and Claude Desktop

HTTP Mode Example (for web-based MCP clients):

uv run -m linkedin_mcp_server --transport streamable-http --host 127.0.0.1 --port 8000 --path /mcp

Claude Desktop:

{
  "mcpServers": {
    "mcp-server-linkedin": {
      "command": "uv",
      "args": ["--directory", "/path/to/linkedin-mcp-server", "run", "-m", "linkedin_mcp_server"]
    }
  }
}

stdio is used by default for this config.

❗ Troubleshooting
Login issues
  • Make sure you have only one active LinkedIn session at a time
  • LinkedIn may require a login confirmation in the LinkedIn mobile app for --login
  • LinkedIn may show a captcha challenge during login. The --login command opens a browser where you can solve it manually.
Tool issues
  • Use --no-headless to watch the browser when a tool returns wrong or missing data
  • Add --log-level DEBUG to see more detailed logging
Session issues
  • Browser profile is stored at ~/.linkedin-mcp/profile/
  • Managed browser downloads are cached at ~/.linkedin-mcp/patchright-browsers/, shared with the uvx and MCP Bundle installations
  • The browser cache keeps growing: Patchright keeps an old Chromium revision for as long as any installed version still references it, and a uv archive or a second worktree is such a reference. The server logs a warning naming what it holds. To reclaim the space, stop every LinkedIn MCP Server instance, delete ~/.linkedin-mcp/patchright-browsers/, and let the next launch download the current browser.
  • Use --logout to clear the profile and start fresh
Python/Patchright issues
  • Check Python version: python --version (should be 3.12.4+)
  • Reinstall Patchright: uv run patchright install chromium
  • Reinstall dependencies: uv sync --reinstall
Timeout issues
  • Page operations failing (elements not found, navigation hangs): increase the browser page-op timeout: --timeout 10000 or TIMEOUT=10000 (milliseconds, default 5000).
  • Entire tool calls timing out (e.g. multi-section profiles, cold-start Chromium, slow containers): increase the per-tool execution timeout: --tool-timeout 300 or TOOL_TIMEOUT=300 (seconds, default 180).
  • First tool call with no session: if a locally logged-in browser has a live LinkedIn session, the server auto-imports it (see AUTO_IMPORT_FROM_BROWSER / --auto-import) instead of forcing a manual login. On macOS the keychain may prompt once for Safe Storage access. If no importable browser session exists, it falls back to opening a login window and waits up to LOGIN_INLINE_WAIT seconds (default 25, max 45; --login-inline-wait) so a quick sign-in resolves in one call. If the wait elapses, the tool returns a pending signal and the model retries in about 30 seconds. Neither the auto-import nor the inline wait applies under Docker or when the server is bound to a non-loopback HTTP host. Create the session on the host with --login, or use the explicit Docker --login --login-viewer command.
  • Users on slow connections may need higher values for either.
Told to run --login on the host when you already did
  • If tool calls answer "No valid LinkedIn session is available in Docker" on a machine that is not a container, the runtime was misdetected. This happened on Linux hosts running a Docker daemon for unrelated services. Set LINKEDIN_MCP_CONTAINER=false to override the detection; true forces the opposite.
Custom Chrome path
  • If Chrome is installed in a non-standard location, use --chrome-path /path/to/chrome
  • Can also set via environment variable: CHROME_PATH=/path/to/chrome
  • On macOS and Linux the browser must be at least as new as the one that last opened your profile, and the server refuses the launch otherwise. (Not on Windows: a browser there cannot be asked its version without starting one, so the check is off.) An older browser can silently drop stores a newer one wrote, the saved session among them, and the failure then looks exactly like an expired login. The message names both versions. Going back to the bundled Chromium after running a newer Chrome once is the usual way to meet this; either run the newer browser again, whichever one that was, or run --login, which moves the stored session aside and signs in fresh with the browser you have. --logout also clears it but discards the old session instead of keeping it recoverable, and it asks for confirmation on the terminal, so it is not usable from a server an MCP client started.
  • Only Chrome, Chromium and Chrome for Testing are compared this way. Forks number themselves differently (Vivaldi is on 7.x, Edge's build number sits far below Chrome's under the same major), so pointing CHROME_PATH at one turns the check off rather than producing a refusal nothing could satisfy.


[!IMPORTANT] FAQ

Is this safe to use? Will I get banned? This tool controls a real browser session; it doesn't exploit undocumented APIs or bypass authentication. LinkedIn's User Agreement prohibits automated access, and accounts using automated tools can be restricted or banned. Use at your own risk; there is no guarantee of account safety. If you encounter any issues, let me know in the Discussions.

What if my agents execute too many actions? Tool calls run sequentially through a queue. You are responsible for the volume of automation you run; use it sparingly and prompt your agents responsibly.

Contributors

Thanks to everyone who has contributed code, bug reports and fixes.

Contributors to linkedin-mcp-server

Acknowledgements

Built with FastMCP and Patchright.

Use in accordance with LinkedIn's User Agreement. Automated access may violate LinkedIn's terms and can lead to account restrictions. This tool is for personal use only and comes with no warranty of any kind.

License

This project is licensed under the Apache 2.0 license.

Building on this project is welcome! See the license for terms and the NOTICE for attribution.