LinkedInMCP: Revolutionizing LinkedIn API Interactions MCP Serve…

@Dishant27

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开发工具

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MIT

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stdio

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Dishant27

关于 LinkedInMCP: Revolutionizing LinkedIn API Interactions MCP Server

Model Context Protocol (MCP) server for LinkedIn API integration

#mcp #linkedin #llm #claude-ai #mcp-server

LinkedInMCP: Revolutionizing LinkedIn API Interactions MCP Server 配置

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LinkedInMCP: Revolutionizing LinkedIn API Interactions MCP Server 工具

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概览

What is LinkedInMCP?

LinkedInMCP is a Model Context Protocol (MCP) server that provides a flexible, context-rich interface for interacting with the LinkedIn API. It is built for developers and LLMs (like Claude or OpenAI) to enable intelligent, type-safe LinkedIn data retrieval and operations.

How to use LinkedInMCP?

Clone the repository, install dependencies with npm, create a .env file with your LinkedIn Client ID and Client Secret, then build and start the server (npm run build, npm start). Integrate with Claude Desktop by adding a tool configuration that points to the server’s executable and provides the same environment variables. The LLM can then use tools such as search-people and get-profile to query LinkedIn.

Key features of LinkedInMCP

Intelligent context management for API interactions
Secure, typed interactions using TypeScript and Zod
Extensible architecture for custom integrations
Advanced people search with multiple filters
Detailed profile retrieval and job market intelligence
OAuth 2.0 authentication with token refresh handling

Use cases of LinkedInMCP

Talent acquisition: source candidates and analyze talent pools
Sales lead generation: identify decision-makers at target companies
Market research: track industry trends and skill demand
CRM and ATS enrichment: sync LinkedIn data into enterprise systems

常见问题

What are the prerequisites for using LinkedInMCP?

You need Node.js 16+, a LinkedIn Developer account, and an MCP-compatible LLM (e.g., Claude, OpenAI).

How do I authenticate with the LinkedIn API?

Register an application on the LinkedIn Developer Portal to obtain a Client ID and Client Secret. Set these in a `.env` file or in the MCP server’s environment variables. The server implements OAuth 2.0 for secure token management.

Does LinkedInMCP store any data?

LinkedInMCP processes data in transit without persistent storage. It returns only the requested fields and includes automatic data sanitization, supporting GDPR compliance and minimal data retention.

What core capabilities does LinkedInMCP provide?

It offers advanced people search, detailed profile retrieval, job market intelligence, and messaging capabilities, all through a standardized MCP interface.