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Universal RAG MCP

by Sid7on1
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TypeScript

Universal RAG MCP

🧠 Intelligent cross-platform memory system for AI assistants

Give your AI assistants persistent, searchable memory that works across Claude, ChatGPT, Gemini, and more.

npm version License: MIT

✨ Features

  • 🧠 Smart Memory - Intelligent chunking filters noise, keeps only important information

  • 🔍 Semantic Search - Find information by meaning, not just keywords

  • 🚫 Auto-Deduplication - Tracks mention count instead of saving duplicates

  • 🌐 Cross-Platform - Same memory across Claude, ChatGPT, Gemini, Cursor, Kiro

  • ⚡ Fast - Sub-100ms searches with in-memory caching

  • 🎯 Accurate - Multi-question support with parallel searches

  • 🔒 Your Data - Stored in your Firebase/Pinecone accounts

Related MCP server: JauMemory MCP Server

Features

  • Cross-platform: Same memory in Claude Desktop, ChatGPT, Gemini, and more

  • Your data: You control it - stored in your Firebase/Pinecone accounts

  • Zero config: 5-minute setup wizard handles everything

  • Smart search: Semantic search with automatic reranking

  • Fast: In-memory cache + hot/warm/cold storage tiers

🚀 Quick Start

# 1. Install
npm install -g @sid7vish/universal-rag-mcp

# 2. Setup (5 minutes)
universal-rag-mcp init

# 3. Add MCP config to your AI platform (shown at end of setup)

# 4. Restart your AI platform and test!

That's it! Your AI now has persistent memory.

📖 Documentation

→ Read the Complete Guide

Everything you need:

  • Detailed setup instructions

  • API keys walkthrough

  • Platform configuration

  • Troubleshooting

  • Advanced usage

💬 Example Usage

You: Remember that I love TypeScript and I'm building SLAM v3
AI: Got it!

You: What am I working on?
AI: You're building SLAM v3 and you love TypeScript!

🏗️ Architecture

AI Platform (Claude/ChatGPT/Gemini)
    ↓ MCP Protocol
universal-rag-mcp
    ↓
Firebase (data) + Pinecone (vectors) + Voyage AI (embeddings)

🔑 What You Need

4 Free API Keys (setup wizard guides you):

  1. Firebase - Database storage (free: 1GB)

  2. Pinecone - Vector search (free: 5M vectors)

  3. Voyage AI - Primary embeddings (free: 10M tokens)

  4. Cohere - Fallback embeddings (free: 1K calls/month)

Total setup time: 5 minutes
Monthly cost: $0 (free tiers cover most users)

📚 Commands

universal-rag-mcp init      # Setup wizard
universal-rag-mcp status    # Check configuration
universal-rag-mcp config    # Show config location

🤝 Contributing

Contributions welcome! Open an issue or PR.

📄 License

MIT License - See LICENSE

🔗 Links

Made with ❤️ by Siddharth Vishwanath

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