经 AI Skill Hub 精选评估,linkedin-mcp-server MCP工具 获评「强烈推荐」。已获得 1.9k 颗 GitHub Star,这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.2 分,适合有一定技术背景的用户使用。
linkedin-mcp-server MCP工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
linkedin-mcp-server MCP工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/stickerdaniel/linkedin-mcp-server
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"linkedin-mcp-server-mcp--": {
"command": "npx",
"args": ["-y", "linkedin-mcp-server"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 linkedin-mcp-server MCP工具 执行以下任务... Claude: [自动调用 linkedin-mcp-server MCP工具 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"linkedin-mcp-server_mcp__": {
"command": "npx",
"args": ["-y", "linkedin-mcp-server"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<p align="left"> <a href="https://pypi.org/project/mcp-server-linkedin/" target="_blank"><img src="https://img.shields.io/pypi/v/mcp-server-linkedin?color=blue" alt="PyPI"></a> <a href="https://github.com/stickerdaniel/linkedin-mcp-server/actions/workflows/ci.yml" target="_blank"><img src="https://github.com/stickerdaniel/linkedin-mcp-server/actions/workflows/ci.yml/badge.svg?branch=main" alt="CI Status"></a> <a href="https://github.com/stickerdaniel/linkedin-mcp-server/actions/workflows/release.yml" target="_blank"><img src="https://github.com/stickerdaniel/linkedin-mcp-server/actions/workflows/release.yml/badge.svg?branch=main" alt="Release"></a> <a href="https://github.com/stickerdaniel/linkedin-mcp-server/blob/main/LICENSE" target="_blank"><img src="https://img.shields.io/badge/License-Apache%202.0-%233fb950?labelColor=32383f" alt="License"></a> </p>
Disclaimer: This is an independent, community project. It is not affiliated with, authorized by, endorsed by, or sponsored by LinkedIn Corporation or Microsoft. "LinkedIn" is a registered trademark of LinkedIn Corporation and is used here only descriptively to identify the third-party service this software interoperates with.
An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.
uv sync uv sync --group dev
| Tool | Description |
|---|---|
get_person_profile | Get profile info with explicit section selection (experience, education, interests, honors, languages, certifications, skills, projects, contact_info, posts) |
get_my_profile | Get the authenticated user's own LinkedIn profile (same sections as get_person_profile) |
connect_with_person | Send a connection request or accept an incoming one, with optional note |
get_sidebar_profiles | Extract profile URLs from sidebar recommendation sections ("More profiles for you", "Explore premium profiles", "People you may know") on a profile page |
get_inbox | List recent conversations from the LinkedIn messaging inbox |
get_conversation | Read a specific messaging conversation by username or thread ID |
search_conversations | Search messages by keyword |
send_message | Compose/send a new message to a LinkedIn user (requires confirmation; profile-based targeting may open a separate DM instead of replying in an existing thread — see #483) |
get_company_profile | Extract company information with explicit section selection (posts, jobs); about-section references may include a company_urn entry carrying the numeric id used by LinkedIn's people-search currentCompany URL facet |
get_company_posts | Get recent posts from a company's LinkedIn feed |
search_companies | Search for companies on LinkedIn by keywords |
get_company_employees | List employees at a company from the /people/ page, with optional keyword filter |
search_jobs | Search for jobs with keywords and location filters |
get_saved_jobs | List job postings saved by the authenticated user |
search_people | Search for people by keywords, location, connection degree (1st/2nd/3rd), and current company |
get_job_details | Get detailed information about a specific job posting |
get_feed | Get recent posts from the authenticated user's home feed |
search_posts | Search posts/content globally by keyword (the "Posts" tab) with an optional recency filter (past-24h/past-week/past-month) |
close_session | Close browser session and clean up resources |
<br/> <br/>
Prerequisites: Install uv.
Client 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, prepares the shared Patchright Chromium browser cache in the background under ~/.linkedin-mcp/patchright-browsers, and opens a LinkedIn login browser window on the first tool call that needs authentication.
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.
<details> <summary><b>🔧 Configuration</b></summary>
Transport Modes:
stdioCLI Options:
--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, auto). Bare flag picks auto, the most recently used browser with a live LinkedIn session.--logout - Clear the stored session--no-headless - Show the browser window (useful for debugging)--log-level {DEBUG,INFO,WARNING,ERROR} - Logging level (default: WARNING)--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)--timeout MS - Timeout for a single page operation (default: 5000)--tool-timeout SECONDS - Timeout for a whole tool call (default: 180). Raise it for heavy scrapes, 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-viewer - Docker only: show the --login browser at a token-protected URL on port 6080 (see Authentication)--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)--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)--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.--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.--chrome-path PATH - Path to a Chrome/Chromium executable--proxy-server URL - Route browser traffic through a proxy, as scheme://host:port. Set the password via PROXY_PASSWORD, which keeps it out of the process list.Import a session from your everyday browser:
If you are already signed into LinkedIn in Chrome, Chromium, Brave, Edge, Arc, Vivaldi, Helium, Yandex, or Naver Whale, you can skip the manual --login step and reuse that session:
```bash
<details> <summary><b>❗ Troubleshooting</b></summary>
First-time setup behavior:
~/.linkedin-mcp/patchright-browsers/~/.linkedin-mcp/patchright-browsers/, and let the next launch download the current browser.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:
--loginuvx mcp-server-linkedin@latest --login which opens a browser where you can solve captchas manually. See the uvx setup for prerequisites.Timeout issues:
--timeout 10000 or TIMEOUT=10000 (milliseconds, default 5000).--tool-timeout 300 or TOOL_TIMEOUT=300 (seconds, default 180).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.Told to run --login on the host when you already did:
LINKEDIN_MCP_CONTAINER=false to override the detection; true forces the opposite.</details>
<br/> <br/>
Prerequisites: Make sure Docker is installed and running.
<details> <summary><b>🔧 Configuration</b></summary>
Transport Modes:
stdioCLI Options:
--log-level {DEBUG,INFO,WARNING,ERROR} - Logging level (default: WARNING)--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)--logout - Clear the stored session and every profile derived from it--timeout MS - Timeout for a single page operation (default: 5000)--tool-timeout SECONDS - Timeout for a whole tool call (default: 180). Raise it for heavy scrapes, 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-viewer - With --login, show the login browser at a token-protected URL on port 6080. Needs the profile mount from Authentication.--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)--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)--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.--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.--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 the password via PROXY_PASSWORD, which keeps it out of the process list.[!NOTE] Plain--loginstill has no visible window in Docker. Add--login-viewerand publish127.0.0.1:6080:6080only for the one-shot login command. Docker is already headed by default, so--no-headlesschanges nothing. The experimental--daemonis ignored in Docker because its owner can outlive the virtual display.
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:
@modelcontextprotocol/inspectorStreamable HTTP as Transport TypeURL to http://localhost:8080/mcp</details>
<details> <summary><b>❗ Troubleshooting</b></summary>
Docker issues:
docker ps~/.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:
--loginuvx mcp-server-linkedin@latest --login which opens a browser where you can solve captchas manually. See the uvx setup for prerequisites.Timeout issues:
--timeout 10000 or TIMEOUT=10000 (milliseconds, default 5000).--tool-timeout 300 or TOOL_TIMEOUT=300 (seconds, default 180).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.Told to run --login on the host when you already did:
LINKEDIN_MCP_CONTAINER=false to override the detection; true forces the opposite.Using a proxy:
Most people should not use one. LinkedIn's own guidance for reducing security challenges is to avoid a VPN or proxy, and it scores the addresses a session signs in from. A home connection you have used for years is a trust signal; a commercial exit node with a history you cannot see is not, and switching to one is itself the kind of change that triggers a checkpoint. A proxy is worth it in one case: the server runs somewhere its address is obviously a data centre, or in a different country from the account's history. Even then, a WireGuard or Tailscale exit node on your own home network beats any paid provider, because the address really is yours. If you do buy one, take a dedicated static ISP address and keep it, rather than a rotating residential pool.
--proxy-server http://host:port (http, https, socks4 and socks5 are accepted). Only browser traffic is routed, not the MCP transport.PROXY_USERNAME and PROXY_PASSWORD. There is no --proxy-password flag on purpose: command-line arguments are readable by every other user on the machine. PROXY_SERVER also accepts the combined http://user:pass@host:port form most providers hand out.http(s) endpoint. If your provider only offers authenticated SOCKS5, run a local relay that holds the credentials and point the server at that.localhost is removed when a proxy is set, so add PROXY_BYPASS=localhost,127.0.0.1,::1 if you need local targets reached directly.--login.--login with the proxy already configured. Turning a proxy on for an existing profile moves a logged-in session to a new IP, which is what triggers a LinkedIn checkpoint. The same applies to --import-from-browser, which imports a session created on your real IP. Use a sticky session, not a rotating pool, for the same reason.Custom Chrome path:
--chrome-path /path/to/chromeCHROME_PATH=/path/to/chrome--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.CHROME_PATH at one turns the check off rather than producing a refusal nothing could satisfy.--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.</details>
<br/> <br/>
Contributions are welcome! See CONTRIBUTING.md for architecture guidelines and checklists. Please open an issue first to discuss the feature or bug fix before submitting a PR.
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
uv run pre-commit install
<details> <summary><b>🔧 Configuration</b></summary>
CLI Options:
--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, auto). Bare flag picks auto, the most recently used browser with a live LinkedIn session.--status - Check whether the stored session is valid, then exit--logout - Clear the stored session--no-headless - Show the browser window (useful for debugging)--log-level {DEBUG,INFO,WARNING,ERROR} - Logging level (default: WARNING)--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)--timeout MS - Timeout for a single page operation (default: 5000)--tool-timeout SECONDS - Timeout for a whole tool call (default: 180). Raise it for heavy scrapes, slow networks, or a cold-start browser.--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.--installer-temp-dir PATH - Parent directory for temporary files created during browser installation bootstrap (default: system temporary directory). Useful when system %TEMP% ancestry has non-standard ACLs or permissions.--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.--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--proxy-server URL - Route browser traffic through a proxy, as scheme://host:port. Set the password via PROXY_PASSWORD, which keeps it out of the process list.--help - Show helpNote: Most CLI options have environment variable equivalents. See .env.example for details.
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.
</details>
<details> <summary><b>❗ Troubleshooting</b></summary>
Login issues:
--login--login command opens a browser where you can solve it manually.Scraping issues:
--no-headless to see browser actions and debug scraping problems--log-level DEBUG to see more detailed loggingSession issues:
~/.linkedin-mcp/profile/~/.linkedin-mcp/patchright-browsers/, shared with the uvx and MCP Bundle installationsuv 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.--logout to clear the profile and start freshPython/Patchright issues:
python --version (should be 3.12.4+)uv run patchright install chromiumuv sync --reinstallTimeout issues:
--timeout 10000 or TIMEOUT=10000 (milliseconds, default 5000).--tool-timeout 300 or TOOL_TIMEOUT=300 (seconds, default 180).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.Told to run --login on the host when you already did:
LINKEDIN_MCP_CONTAINER=false to override the detection; true forces the opposite.Using a proxy:
Most people should not use one. LinkedIn's own guidance for reducing security challenges is to avoid a VPN or proxy, and it scores the addresses a session signs in from. A home connection you have used for years is a trust signal; a commercial exit node with a history you cannot see is not, and switching to one is itself the kind of change that triggers a checkpoint. A proxy is worth it in one case: the server runs somewhere its address is obviously a data centre, or in a different country from the account's history. Even then, a WireGuard or Tailscale exit node on your own home network beats any paid provider, because the address really is yours. If you do buy one, take a dedicated static ISP address and keep it, rather than a rotating residential pool.
--proxy-server http://host:port (http, https, socks4 and socks5 are accepted). Only browser traffic is routed, not the MCP transport.PROXY_USERNAME and PROXY_PASSWORD. There is no --proxy-password flag on purpose: command-line arguments are readable by every other user on the machine. PROXY_SERVER also accepts the combined http://user:pass@host:port form most providers hand out.http(s) endpoint. If your provider only offers authenticated SOCKS5, run a local relay that holds the credentials and point the server at that.localhost is removed when a proxy is set, so add PROXY_BYPASS=localhost,127.0.0.1,::1 if you need local targets reached directly.--login.--login with the proxy already configured. Turning a proxy on for an existing profile moves a logged-in session to a new IP, which is what triggers a LinkedIn checkpoint. The same applies to --import-from-browser, which imports a session created on your real IP. Use a sticky session, not a rotating pool, for the same reason.Custom Chrome path:
--chrome-path /path/to/chromeCHROME_PATH=/path/to/chrome--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.CHROME_PATH at one turns the check off rather than producing a refusal nothing could satisfy.</details>
<br/> <br/>
[!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.
This repository includes an opt-in Codex plugin that bundles the MCP server and its LinkedIn workflow guidance. Add the repository marketplace, then install the plugin:
codex plugin marketplace add stickerdaniel/linkedin-mcp-server
codex plugin add linkedin-mcp-server@linkedin-mcp-server
The plugin pins the MCP package to the same version as the plugin release. It does not install by default or override the user's enabled state. The plugin can be disabled in Codex settings, and its bundled MCP server can be disabled independently in ~/.codex/config.toml:
[plugins."linkedin-mcp-server".mcp_servers.linkedin]
enabled = false
Installing or enabling the plugin does not open a browser or sign in. A LinkedIn data request may start the managed browser, import an existing local session, or require a visible login window.
<br/> <br/>
高质量MCP集成方案,架构清晰维护活跃,1.9k星证明社区认可度高,对AI代理生态贡献显著。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。
AI Skill Hub 点评:linkedin-mcp-server MCP工具 的核心功能完整,质量优秀。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | linkedin-mcp-server |
| 原始描述 | 开源MCP工具:Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI assis。⭐1.9k · Python |
| Topics | MCP服务LinkedIn集成AI代理Claude插件Python开发 |
| GitHub | https://github.com/stickerdaniel/linkedin-mcp-server |
| License | Apache-2.0 |
| 语言 | Python |
收录时间:2026-05-14 · 更新时间:2026-05-16 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端