linkedin-mcp-server and LinkedIn-Posts-Hunter-MCP-Server

The two tools are ecosystem siblings: one is a general Model Context Protocol (MCP) server for LinkedIn API integration, while the other is a specialized MCP server built for automating LinkedIn job post search and management.

linkedin-mcp-server
52
Established
LinkedIn-Posts-Hunter-MCP-Server
26
Experimental
Maintenance 10/25
Adoption 8/25
Maturity 16/25
Community 18/25
Maintenance 2/25
Adoption 4/25
Maturity 7/25
Community 13/25
Stars: 42
Forks: 15
Downloads: —
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 6
Forks: 2
Downloads: —
Commits (30d): 0
Language: TypeScript
License: —
No Package No Dependents
No License Stale 6m No Package No Dependents

About linkedin-mcp-server

Dishant27/linkedin-mcp-server

Model Context Protocol (MCP) server for LinkedIn API integration

This project helps developers integrate LinkedIn's API capabilities into their AI models and applications, specifically for tasks like searching profiles, retrieving detailed information, and potentially automating outreach. It takes natural language requests from an AI model and translates them into structured LinkedIn API calls, returning relevant professional data. This is for developers building tools that need to programmatically interact with LinkedIn data to solve problems in areas like talent acquisition, sales, or market research.

talent-acquisition sales-intelligence market-research business-development api-integration

About LinkedIn-Posts-Hunter-MCP-Server

kevin-weitgenant/LinkedIn-Posts-Hunter-MCP-Server

LinkedIn Posts Hunter MCP is a Model Context Protocol (MCP) server that provides tools for automating LinkedIn job post search and management through your AI assistant (Claude Desktop, Cursor, or other MCP-compatible clients).

Related comparisons

linkedin-mcp-server and mcp-linkedin linkedin-mcp-server and mcp-instagram linkedin-mcp-server and linkedapi-mcp linkedin-mcp-server and outx-mcp-server linkedin-mcp-server and linkedin-mcpserver linkedin-mcp-server and Linkedin-MCP-Server

Scores updated daily from GitHub, PyPI, and npm data. How scores work