LinkedIn MCP Server
Related Servers
Alternatives to LinkedIn MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceEnables AI assistants to access and interact with LinkedIn data—profiles, messaging, jobs, companies, and more—via MCP, with remote or local deployment.22285 npm10MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to connect to LinkedIn, accessing profiles and companies, searching for jobs and people, managing saved jobs, updating job-search profile settings, and inspecting analytics.1Apache 2.0
- AlicenseAqualityCmaintenanceEnables AI assistants to access LinkedIn data through the user's logged-in browser session, supporting profiles, companies, job searches, messaging, and feed/posts.21Apache 2.0
- AlicenseAqualityCmaintenanceAn unofficial Model Context Protocol server enabling AI assistants to access LinkedIn profile data, network connections, search people and jobs, and send messages via OAuth 2.1.7MIT
- FlicenseAqualityNot gradedmaintenanceEnables AI assistants to interact with LinkedIn and LinkedIn Sales Navigator for searching profiles, managing leads, and handling messaging via cookie-based authentication. It supports professional networking tasks such as sending connection requests and retrieving account details through the Model Context Protocol.221-
- FlicenseNot gradedqualityDmaintenanceA comprehensive Model Context Protocol server that enables AI assistants to interact with LinkedIn APIs for profile management, content creation, networking, messaging, and analytics.2-
TDQS
Scored across 28 tools
Most tools have distinct purposes, but there is slight overlap between get_my_profile and get_profile, and between get_company_info and get_company_profile. These are minor and descriptions help.
All tools use a consistent snake_case verb_noun pattern (e.g., accept_connection_request, search_jobs). No mixed conventions or unclear names.
At 28 tools, the count exceeds the 25+ threshold for 'too many' per the rubric. While each tool has a clear role, the server would benefit from consolidation or pruning.
Covers many core LinkedIn actions (search, post, message, connect), but lacks update/delete for posts, profile editing, and connection management beyond accept. Notable gaps for a full-lifecycle tool.