linkedin-mcpserver vs memory

Side-by-side comparison to help you pick between these two MCP servers.

	linkedin-mcpserver by felipfr	memory by modelcontextprotocol
Stars	★ 62	★ 85,748
30d uses	—	—
Score	40	77
Official	—	✓
Categories	CommunicationProductivityDeveloper Tools	Knowledge GraphAI / LLM ToolsProductivity
Language	TypeScript	TypeScript
Last commit	14 mo ago	this month

linkedin-mcpserver · Summary

A TypeScript MCP server integrating LinkedIn API for profile search, job discovery, and messaging capabilities.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

linkedin-mcpserver · Use cases

AI assistants analyzing professional networks and connections
Job search automation with customized criteria matching
Recruiting tools for candidate identification and outreach

memory · Use cases

Personalizing AI assistant interactions by remembering user preferences, history, and relationships
Building context-aware chat applications that maintain conversation history
Creating knowledge bases that persist across AI model sessions

linkedin-mcpserver · Install

Installation

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

Configuration

For Claude Desktop:

**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"
    }
  }
}

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.