LinkedIn MCP Server
Related Servers
Alternatives to LinkedIn MCP Server
No user-submitted related servers found.
Related Servers
- 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
- AlicenseAqualityAmaintenanceEnables AI assistants to interact with LinkedIn by scraping profiles, companies, job postings, and getting personalized job recommendations using authenticated browser automation.1711,396 PyPI4,026Apache 2.0
- AlicenseAqualityCmaintenanceEnables AI assistants to browse profiles and companies, manage messages and inboxes, and search jobs, posts, and people through a locally logged-in browser session. All actions run on the user's own machine.19Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to securely search your LinkedIn network, contacts, and DMs to find warm leads, intro paths, and hidden opportunities.31MIT
- AlicenseBqualityBmaintenanceConnects AI assistants like Claude to LinkedIn through your own logged-in browser session, enabling profile and company lookups, messaging, inbox management, job searches, and related actions. All browser interactions run locally on your machine.47Apache 2.0
- AlicenseAqualityCmaintenanceConnects LinkedIn to AI assistants, enabling lead search, profile analysis, messaging, and workflow automation through a cloud browser. Supports sales, recruiting, and market research tasks.59446 npmMIT
TDQS
Scored across 19 tools
Each tool targets a distinct resource/action: people, companies, jobs, messaging, feed, and session management. Overlapping tools like get_feed/search_posts/get_company_posts and get_company_employees/search_people are explicitly differentiated in their descriptions, so an agent should not misselect.
All tool names follow a verb_noun snake_case pattern, primarily get_* and search_*, with a few clear action verbs like send_message, connect_with_person, and close_session. The naming is predictable and consistent across the full set.
At 19 tools, the server is in the 16-25 range that feels heavy, even though the LinkedIn domain is broad. Some niche helpers like get_sidebar_profiles and close_session could be considered non-essential, but the count is not extreme enough to be chaotic.
Core workflows are covered end-to-end: search people, companies, and jobs; retrieve details; connect; message; and read feeds/inbox. Obvious gaps are modest, such as no ability to post content, manage connections, or apply to jobs, but these are not central to the apparent sales/recruiting use case.