LinkedIn MCP Server
Related Servers
Alternatives to LinkedIn MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityCmaintenancePlaywright-powered MCP server for LinkedIn that automates jobs, profile edits, messaging, network actions, and feed posts using a real logged-in browser session.36Apache 2.0
- AlicenseNot gradedqualityCmaintenanceMCP server for programmable LinkedIn automation via Playwright, offering 20 tools for profile management, messaging, feed interaction, and job searching through real browser automation.11 npmMIT
- FlicenseAqualityCmaintenanceMCP server for automating LinkedIn actions such as reading feeds, sending messages, creating posts, and managing connections. Uses browser automation with proxy and stealth support.21-
- AlicenseNot gradedqualityAmaintenanceAn MCP server providing generic browser automation and HTTP primitives for operating a LinkedIn session, supporting local Chromium or cloud browsers, with deterministic tools and optional AI tasks.37 npmMIT
- 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
- AlicenseAqualityBmaintenanceAn 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.19Apache 2.0
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose targeting different LinkedIn resources: connections, job details, messages, profiles, job search, and connection requests. There is no overlap in functionality, making it easy for an agent to select the right tool.
All tools follow a consistent verb_noun naming pattern (e.g., get_connections, search_jobs, send_connection_request). The verbs are appropriate and descriptive, with no deviations in style or convention.
With 6 tools, the server is well-scoped for LinkedIn interactions, covering key areas like profiles, connections, jobs, and messaging. Each tool earns its place without being overwhelming or insufficient for the domain.
The tool set covers core LinkedIn functionalities well, including reading (profiles, connections, jobs, messages) and writing (connection requests). Minor gaps exist, such as no tools for updating profiles, managing connections (e.g., removing), or interacting with posts, but agents can still handle common workflows effectively.