LinkedIn MCP Server
Related Servers
Alternatives to LinkedIn MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to access LinkedIn through the user's own browser session to read profiles, research companies, find jobs, and manage conversations and connection requests.Apache 2.0
- AlicenseAqualityBmaintenanceEnables AI agents to use an existing browser session to read profiles and companies, search jobs and people, and manage messages and connection requests on LinkedIn.21Apache 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
- AlicenseAqualityDmaintenanceEnables AI assistants to read LinkedIn profiles, company pages, jobs, messages, and feed through a user's logged-in browser session.19Apache 2.0
- 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
- AlicenseAqualityBmaintenanceGives AI agents access to LinkedIn through your own browser session, enabling profile and company research, job searching, and management of conversations and connection requests.25Apache 2.0
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.