Why this server?
This server bridges AI assistants and LinkedIn's API, enabling profile access, content posting, searching people, and retrieving company information.
-license-quality-maintenanceA Model Context Protocol implementation that bridges language models with LinkedIn's API, enabling profile access, posting content, searching people, and retrieving company information through standardized tools.Last updatedWhy this server?
This unofficial MCP server provides LinkedIn tools for searching users, enriching profiles, retrieving contact information, and conducting deep research.
AlicenseAqualityFmaintenanceAn unofficial Model Context Protocol server that provides LinkedIn tools for searching users, enriching profiles, retrieving contact information, and conducting deep research through natural language interfaces.Last updated5165Why this server?
Enables AI agents to perform LinkedIn automation and data extraction through browser automation, which would be necessary to find profiles. However, be aware it states it respects LinkedIn's rate limits.
Flicense-qualityCmaintenanceA FastMCP-based server that enables programmatic LinkedIn automation and data extraction through browser automation, offering secure authentication and tools for profile operations and post interactions while respecting LinkedIn's rate limits.Last updated53Why this server?
This server provides tools for LinkedIn profile searches and feed retrieval.
AlicenseBqualityDmaintenanceEnables AI assistants to interact with LinkedIn data through the Model Context Protocol, allowing profile searches, job discovery, messaging, and network analytics.Last updated2813157MITWhy this server?
Although primarily for Twitter, it might offer some people search capabilities depending on how broadly it can search across social media platforms. It is not explicitly LinkedIn focused.
Alicense-qualityCmaintenanceA Model Context Protocol server that enables AI to interact with Twitter, allowing functions like searching tweets, comparing sentiments across accounts, and retrieving timeline content.Last updatedMIT