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@sid7vish/universal-rag-mcp

v3.2.1

Published

Universal RAG Memory MCP Server for AI assistants

Readme

Universal RAG MCP Server

A Model Context Protocol (MCP) server that provides persistent memory for AI assistants like Claude, ChatGPT, and others.

Features

  • 🧠 Semantic Memory Search - Find relevant past conversations using natural language
  • 💾 Persistent Storage - Memories persist across sessions via Supabase
  • 🔌 Universal Compatibility - Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client
  • 📊 Memory Stats - Track your memory usage and activity

Available Tools

| Tool | Description | |------|-------------| | search_memory | Search past conversations and stored information | | add_to_memory | Store new information, preferences, or facts | | list_memories | List recent memories with metadata | | get_memory | Get full details of a specific memory | | delete_memory | Remove a memory by ID | | get_memory_stats | Get statistics about stored memories |

Installation

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "ragmax": {
      "command": "npx",
      "args": ["-y", "@sid7vish/universal-rag-mcp", "start", "--api-key", "YOUR_API_KEY"]
    }
  }
}

Cursor IDE

  1. Open Settings → Features → MCP
  2. Add new server with command:
npx -y @sid7vish/universal-rag-mcp start --api-key YOUR_API_KEY

Kiro IDE

Add to .kiro/settings/mcp.json:

{
  "mcpServers": {
    "ragmax": {
      "command": "npx",
      "args": ["-y", "@sid7vish/universal-rag-mcp", "start", "--api-key", "YOUR_API_KEY"]
    }
  }
}

Get Your API Key

  1. Visit RAGMAX Dashboard
  2. Sign in and generate your API key
  3. Use the key in your MCP configuration

License

MIT