Linked API MCP
Related Servers
Alternatives to Linked API MCP
No user-submitted related servers found.
Related Servers
- 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
- 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
- AlicenseNot gradedqualityCmaintenanceAI-powered LinkedIn automation server for content generation, profile/company data extraction, and connection request automation, integrating with MCP clients like Claude Desktop.MIT
- 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
- AlicenseAqualityCmaintenanceSelf-hosted, ban-safe MCP server for LinkedIn that provides 22 tools for profiles, search, jobs, posts, connections, and messages. Integrates with any MCP-compatible client like Claude Desktop.581MIT
- AlicenseNot gradedqualityBmaintenanceMCP server for AI-native LinkedIn prospecting. It enables lead research, audience building, conversation management, and controlled outreach actions such as messaging and publishing through an OAuth-protected remote endpoint.2MIT
TDQS
Scored across 37 tools
Each tool targets a distinct action or domain (admin, standard LinkedIn, Sales Navigator) with clear descriptions. Overlapping functions like fetch_person vs nv_fetch_person are disambiguated by the platform context.
Tool names follow a consistent snake_case pattern with prefixes (admin_, nv_) to indicate scope, and plain verbs for standard LinkedIn. This pattern is predictable and aids tool selection.
With 37 tools, the count exceeds the 25+ threshold, making it feel heavy. While the server aims to cover LinkedIn comprehensively, a more modular split (e.g., separate admin, standard, and Sales Navigator servers) could improve coherence.
Covers most core LinkedIn actions (posts, messages, connections, search, admin) but lacks explicit tools for accepting connection requests or managing groups, leaving minor gaps.