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graphlit-mcp-server vs memory

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

graphlit-mcp-server
by graphlit
memory
by modelcontextprotocol
Stars★ 375★ 85,748
30d uses
Score5177
Official
Categories
Knowledge GraphDeveloper ToolsProductivity
Knowledge GraphAI / LLM ToolsProductivity
LanguageTypeScriptTypeScript
Last commit4 mo agothis month

graphlit-mcp-server · Summary

MCP server connecting Graphlit platform with rich tools for knowledge management and RAG across various data sources.

memory · Summary

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

graphlit-mcp-server · Use cases

  • Building a centralized knowledge base from multiple developer and product management tools
  • Implementing RAG capabilities with content from various sources like Slack, GitHub, and Notion
  • Creating AI-powered search across documents, web pages, and communications

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

graphlit-mcp-server · Install

Install the Graphlit MCP Server via npx:

npx -y graphlit-mcp-server

For Claude Desktop, add to your claude_desktop_config.json:

{
  "mcpServers": {
    "graphlit": {
      "command": "npx",
      "args": ["-y", "graphlit-mcp-server"],
      "env": {
        "GRAPHLIT_ORGANIZATION_ID": "your-organization-id",
        "GRAPHLIT_ENVIRONMENT_ID": "your-environment-id",
        "GRAPHLIT_JWT_SECRET": "your-jwt-secret"
      }
    }
  }
}

Required environment variables:

  • GRAPHLIT_ORGANIZATION_ID
  • GRAPHLIT_ENVIRONMENT_ID
  • GRAPHLIT_JWT_SECRET

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.