MCP SiftCurated directory

LinkedIn MCP Server

by felipfr

用于LinkedIn API集成的强大Model Context Protocol（MCP）服务器。需要在Claude Desktop或其他兼容MCP的AI助手中通过JSON配置文件（例如，macOS：~/Library/Application Support/Claude/claude_desktop_config.json，Windows：%APPDATA%/Claude/claude_desktop_config.json）配置MCP服务器命令路径。

Social & communicationstdioCommunity

Repository-wide counts · Cached 2026-03-12

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Overview

The LinkedIn MCP Server MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the LinkedIn MCP Server repository to read the latest documentation.

KEEP EXPLORING

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WhatsApp API 多设备版本

aldinokemal

Community

支持多设备和 MCP（模型上下文协议）服务器集成的 WhatsApp API，适用于 AI 代理和工具。支持通过命令行参数、环境变量和 .env 文件进行配置。需要 FFmpeg 进行媒体处理。无需通过环境变量提供外部数据文件。

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chatmcp

daodao97

Community

支持MacOS、Windows、Linux、iOS、Android和Web的跨平台AI聊天客户端。需要外部数据文件，例如chatmcp.db（聊天记录）、config.json（设置）以及存储在各平台特定目录中的MCP服务器配置。

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mcp-server-chatsum

chatmcp

Community

总结您的聊天消息。需要通过 CHAT_DB_PATH 环境变量配置的聊天数据库文件路径。

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Telegram MCP Server

chigwell

Community

Integration with Telegram implemented via the Model Context Protocol (MCP). Requires external configuration through a .env file, including settings such as TELEGRAM_API_ID, TELEGRAM_API_HASH, TELEGRAM_SESSION_STRING, or TELEGRAM_SESSION_NAME for session management.

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FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

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🌐 LinkedIn MCP Server

A powerful Model Context Protocol server for LinkedIn API integration

📋 Overview

LinkedIn MCP Server brings the power of the LinkedIn API to your AI assistants through the Model Context Protocol (MCP). This TypeScript server empowers AI agents to interact with LinkedIn data, search profiles, find jobs, and even send messages.

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs - think of it as a USB-C port for AI applications, connecting models to external data sources and tools.

✨ Features

🔍 LinkedIn API Tools

  • Profile Search - Find LinkedIn profiles with advanced filters
  • Profile Retrieval - Get detailed information about LinkedIn profiles
  • Job Search - Discover job opportunities with customized criteria
  • Messaging - Send messages to LinkedIn connections
  • Network Stats - Access connection statistics and analytics

🛠️ Technical Highlights

  • TypeScript - Built with modern TypeScript for type safety and developer experience
  • Dependency Injection - Uses TSyringe for clean, testable architecture
  • Structured Logging - Comprehensive logging with Pino for better observability
  • MCP Integration - Implements the Model Context Protocol for seamless AI assistant connectivity
  • REST Client - Axios-powered API client with automatic token management

🚀 Development

Prerequisites
  • Node.js 20+
  • npm/yarn
Setup
# Install dependencies
npm install

# Run the development server
npm run start:dev

# Build the server
npm run build

📦 Installation

To use with Claude Desktop or other MCP-compatible AI assistants:

Configuration

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "linkedin-mcp-server": {
      "command": "/path/to/linkedin-mcp-server/build/index.js"
    }
  }
}

🔧 Debugging

MCP servers communicate over stdio which can make debugging challenging. Use the integrated MCP Inspector:

# Debug with MCP Inspector
npm run inspector

The Inspector provides a browser-based interface for monitoring requests and responses.

🔒 Security

This server handles sensitive LinkedIn authentication credentials. Review the token management system to ensure it meets your security requirements.

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.