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

Both tools are independent MCP servers providing distinct functionalities for interacting with LinkedIn, making them ecosystem siblings rather than competitors or complements in their current form.

mcp-linkedin
48
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 2/25
Adoption 4/25
Maturity 7/25
Community 13/25
Stars: 194
Forks: 50
Downloads:
Commits (30d): 0
Language: Python
License: Unlicense
Stars: 6
Forks: 2
Downloads:
Commits (30d): 0
Language: TypeScript
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About mcp-linkedin

adhikasp/mcp-linkedin

A Model Context Protocol (MCP) server that provides tools to interact with LinkedIn's Feeds and Job API.

Wraps the unofficial Linkedin-api library to expose feed retrieval and job search capabilities as MCP tools, enabling AI assistants to analyze LinkedIn content and match job postings against user resumes. Runs as a Python subprocess via stdio transport, authenticated with email/password credentials, and integrates directly with Claude Desktop and other MCP-compatible clients through Smithery distribution.

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).

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