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linkedin-mcp

Use LinkedIn profiles, company information, jobs, posts, and inbox conversations for recruiting, job searches, and outreach research. Through the bundled MCP server, an agent connection to LinkedIn, the skill also handles explicitly authorized messages and connection requests.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Use LinkedIn data for profile, company, job, post, feed, inbox, recruiting, and outreach work through the bundled LinkedIn MCP server. Use only for an explicit LinkedIn request.

集成工具LinkedIn
查看安装方法

适用场景

  • Researching people and companies for recruiting
  • Finding jobs and checking application links
  • Reviewing posts and feed content
  • Finding relevant inbox conversations
  • Sending approved messages or connection requests

包含的文件(1)

  • SKILL.md2.6 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

LinkedIn MCP

Use the bundled linkedin MCP server only when the user explicitly asks for LinkedIn data or an action on LinkedIn. Do not call LinkedIn tools for unrelated work, health checks, or background maintenance.

Operating rules

  • Start with the smallest read operation that can answer the request.
  • Treat profile, company, job, post, feed, and message results as live LinkedIn evidence. Distinguish retrieved facts from inference.
  • Keep searches and result pages modest. Do not collect data in bulk or spam.
  • Never enable the plugin or its MCP server, edit the host's plugin configuration, or start a login flow merely because LinkedIn might be useful. If either component is disabled, explain that state and stop.
  • send_message and connect_with_person are write actions. Use them only when the user explicitly authorizes the exact recipient and action. Confirm the final message or connection note unless the user has already supplied it.
  • Do not retry a failed write action unless the result proves it was not sent.

Browser and authentication

The server uses a managed Chromium browser and the user's own LinkedIn session. Installing or enabling the plugin does not sign in. The first LinkedIn data request may prepare the browser, import an existing local session, or require a visible login window. If LinkedIn presents a captcha, two-factor prompt, or other user-owned authentication step, stop and ask the user to complete it.

If browser setup or authentication is still in progress, report that exact state and retry once after it finishes. Do not loop, launch extra browser instances, clear profiles, or replace the user's browser session.

Tool selection

  • Profiles: get_my_profile, get_person_profile, search_people, and get_sidebar_profiles.
  • Companies: get_company_profile, get_company_posts, search_companies, and get_company_employees.
  • Jobs: search_jobs, get_saved_jobs, get_job_details, and get_job_apply_url.
  • Content: get_feed and search_posts.
  • Messages: get_inbox, get_conversation, and search_conversations.
  • Writes: send_message and connect_with_person, subject to the explicit authorization rules above.
  • Cleanup: use close_session only when the user asks to end the managed browser session or when the current LinkedIn task is finished and no follow-up call is expected.

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同一仓库的技能

Prioritize open LinkedIn integration issues and pull requests, or proposed code changes, using report completeness, severity, reach, and readiness checks. Produce ranked lists, identify missing evidence, and recommend concrete next steps for maintainers.

中文简介正在准备中。当前显示英语简介。

  • Prioritizing a backlog of open issues
  • Separating reports that need more evidence
  • Comparing pull requests for production readiness
stickerdaniel/linkedin-mcp-server39822026年10月22日 更新

Investigate LinkedIn integration bugs by comparing issue reports with source code. Separate established facts from unverified claims, identify missing evidence, and optionally check reproduction in a live environment after explicit approval.

中文简介正在准备中。当前显示英语简介。

  • Investigating a reported LinkedIn integration bug
  • Identifying evidence missing from an issue report
  • Checking live reproduction after approval
stickerdaniel/linkedin-mcp-server39822026年10月22日 更新

Evaluate whether a proposed LinkedIn integration fix addresses its linked issue by reviewing the report, code changes, and tests. Flag implementation concerns and optionally compare live results with a genuine recorded baseline after approval.

中文简介正在准备中。当前显示英语简介。

  • Checking whether a PR addresses its linked issue
  • Reviewing language-dependent detection and selectors
  • Comparing live results with a recorded baseline
stickerdaniel/linkedin-mcp-server39822026年10月22日 更新

Search Git repositories locally to answer questions about implementation or usage. The skill clones or updates repositories, examines their contents, and presents findings with source links and complete code examples, including necessary imports.

中文简介正在准备中。当前显示英语简介。

  • Investigating how a repository implements a feature
  • Finding usage examples with complete imports
  • Revisiting and searching previously cloned repositories
stickerdaniel/linkedin-mcp-server39822026年10月22日 更新

Prepare GitHub bug reports, feature requests, documentation issues, and chores using repository forms and supporting evidence. Search existing issues to choose between a new report and a comment, then publish only after approval of the exact public text.

中文简介正在准备中。当前显示英语简介。

  • Preparing a bug report with supporting evidence
  • Drafting a feature request using the repository form
  • Adding new evidence to an existing issue
stickerdaniel/linkedin-mcp-server39822026年10月22日 更新

Collect PR review feedback, check each finding against code and documentation, and fix valid issues. Run project checks, commit and push changes, then reply to review threads and resolve fixed findings or false positives.

中文简介正在准备中。当前显示英语简介。

  • Deduplicating feedback from multiple reviewers
  • Checking review findings against current code
  • Testing and pushing fixes for valid findings
stickerdaniel/linkedin-mcp-server39822026年10月22日 更新

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