MCP Catalogs
Home

memory vs rag-anythink-mcp

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

memory
by modelcontextprotocol
rag-anythink-mcp
by serkanyasr
Stars★ 85,748★ 6
30d uses
Score7739
Official
Categories
Knowledge GraphAI / LLM ToolsProductivity
AI / LLM ToolsKnowledge GraphDatabase
LanguageTypeScriptPython
Last committhis month4 mo ago

memory · Summary

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

rag-anythink-mcp · Summary

MCP server for advanced RAG with knowledge graphs, document processing, and multimodal AI support.

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

rag-anythink-mcp · Use cases

  • Enterprise document management with knowledge graph-based search
  • Research paper analysis with multimodal content extraction
  • Intelligent question answering over complex technical documents

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"]
    }
  }
}

rag-anythink-mcp · Install

Installation

Quick Start with Docker (Recommended)

# Clone the repository
git clone https://github.com/serkanyasr/rag-anythink-mcp.git
cd rag-anythink-mcp

# Copy environment template
cp .env.example .env

# Edit .env and set your OpenAI API key
# OPENAI_API_KEY=sk-...

# Start all services
docker-compose up -d

# View logs
docker-compose logs -f rag-mcp

Claude Desktop Configuration

Add to your Claude Desktop MCP config:

{
  "mcpServers": {
    "rag-anything": {
      "command": "docker-compose",
      "args": ["up", "rag-mcp"],
      "env": {
        "OPENAI_API_KEY": "your-api-key"
      }
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.