MCP Server for LinkedIn
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Alternatives to MCP Server for LinkedIn
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Related Servers
- AlicenseAqualityCmaintenanceAn 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.17Apache 2.0
- AlicenseAqualityNot gradedmaintenanceAn MCP server that lets AI assistants read LinkedIn data through the user's logged-in browser session, providing tools for profiles, companies, job searches, messaging, and feeds.19Apache 2.0
- FlicenseNot gradedqualityBmaintenanceMCP server for LinkedIn that lets Claude and ChatGPT read your profile, post updates, and generate a resume PDF pre-formatted for LinkedIn's Import Resume feature.-
- AlicenseAqualityCmaintenanceSelf-hosted, ban-safe MCP server for LinkedIn that provides 22 tools for profiles, search, jobs, posts, connections, and messages. Integrates with any MCP-compatible client like Claude Desktop.581MIT
- AlicenseNot gradedqualityCmaintenanceAI-powered LinkedIn automation server for content generation, profile/company data extraction, and connection request automation, integrating with MCP clients like Claude Desktop.MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that enables AI assistants to interact with LinkedIn, including job search, profile viewing, resume/cover letter generation, and application tracking.MIT
TDQS
Scored across 19 tools
Each tool targets a distinct resource and action: search_* tools are separated by entity (companies, jobs, people, conversations, posts), and get_* tools are separated by specific content (feed, company posts, job details, profiles, conversation). Even potentially similar tools like get_feed, get_company_posts, and search_posts have clear contextual differences described.
All 19 tool names follow a consistent lowercase_with_underscores verb_noun pattern: get_*, search_*, send_*, connect_*, close_*. There is no mixing of styles or vague verbs, making the toolset predictable and easy to navigate.
With 19 tools, the server is slightly above the typical 3-15 range but each tool addresses a real LinkedIn feature area (feed, jobs, messaging, people, companies, posts). No tools are redundant, and the count reflects the multi-domain scope of LinkedIn, so it feels reasonable rather than bloated.
The server covers core LinkedIn workflows: reading feed (own, company, global search), searching and retrieving profiles/companies/employees, job search and details, messaging (inbox, conversation, search, send), and connection requests. Minor gaps exist (e.g., no ability to post or like), but for a read/messaging/connection automation server, the surface is nearly complete.