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
- AlicenseAqualityBmaintenanceEnables AI assistants to read LinkedIn profiles, company pages, jobs, messages, and feed through a user's logged-in browser session.19Apache 2.0
- AlicenseAqualityBmaintenanceLets an AI assistant operate LinkedIn through an authenticated browser session, enabling profile management, posting, networking, messaging, job search, and automated applications.10014 npm1MIT
- AlicenseAqualityAmaintenanceEnables AI assistants to interact with LinkedIn by scraping profiles, companies, job postings, and getting personalized job recommendations using authenticated browser automation.1714,598 PyPI3,633Apache 2.0
- AlicenseAqualityBmaintenanceControls the user's LinkedIn account through a logged-in browser session, enabling post publishing, profile viewing and editing, job searching, and Easy Apply submissions from chat.11MIT
- AlicenseAqualityBmaintenanceConnects LinkedIn to AI assistants, enabling lead search, profile analysis, messaging, and workflow automation through a cloud browser. Supports sales, recruiting, and market research tasks.59143 npmMIT
TDQS
Scored across 19 tools
Most tools target clearly distinct resources or actions, and descriptions explicitly differentiate potentially overlapping ones like search_people vs get_company_employees and get_feed vs search_posts vs get_company_posts. A few read-oriented messaging tools (get_inbox, get_conversation, search_conversations) could be confused at a glance, but the descriptions disambiguate them.
The set follows a largely consistent verb_noun pattern (search_people, get_person_profile, get_company_posts, send_message, close_session). connect_with_person is a minor prepositional deviation but still readable and idiomatic.
19 tools is on the heavier side but justified by the broad LinkedIn surface spanning people, companies, jobs, messaging, and posts. Each tool maps to a real capability rather than redundant variants.
Coverage is strong across all major domains: people search/connect/profile, company search/profile/posts/employees, jobs search/details/saved, messaging read/send, and feed/post search. Gaps exist on the write side for content engagement (no create_post, comment, like/reaction, or job apply), but core workflows are supported.