LinkedIn MCP
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Alternatives to LinkedIn MCP
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- AlicenseBqualityCmaintenanceEnables AI assistants to interact with LinkedIn data through the Model Context Protocol, allowing profile searches, job discovery, messaging, and network analytics.2885 npm86MIT
- 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
- AlicenseAqualityCmaintenanceAn 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.17Apache 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
- AlicenseAqualityDmaintenanceEnables searching and scraping of LinkedIn profiles, companies, jobs, and posts using natural language through MCP-compatible AI clients.13MIT
- 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
TDQS
Scored across 22 tools
Each tool targets a distinct LinkedIn resource or action. Reads (get_*) are clearly separated from writes (create, comment, connect, etc.), and search tools are dedicated to people, companies, and jobs. No two tools overlap in purpose.
Most tools follow a verb_noun pattern (e.g., get_profile, search_people, create_post). A few exceptions like health_check and whoami break the pattern, but overall the naming is predictable and readable.
22 tools is well-scoped for a LinkedIn integration. Each tool covers a distinct operation without overloading the surface, covering profiles, companies, jobs, messaging, feed, and account management.
Core CRUD and lifecycle operations for LinkedIn are present: profile reading, search, connection management, messaging, and feed interactions. Minor gaps like profile editing or post deletion exist but do not hinder typical workflows.