Skip to main content
Glama
Sid7on1

Universal RAG MCP

by Sid7on1
OverviewSchemaRelated ServersScoreDiscussions
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

This server cannot be installed

A
license - permissive license
-
quality - not tested
D
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • Recall

    blueman82
    F
    license
    A
    quality
    -
    maintenance
    Provides long-term memory storage for AI assistants with semantic search, enabling persistent storage of preferences, decisions, and context with relationship tracking between memories.
    19

  • AI Agent History RAG MCP

    no13productions
    A
    license
    A
    quality
    A
    maintenance
    Provides persistent, searchable memory across AI coding agent and chat history (Claude Code, Codex, Gemini CLI, ChatGPT, and more) via retrieval-augmented generation, enabling semantic and hybrid search to retain context across sessions.
    5
    5
    MIT

  • MCP Memory Service

    alphaplapplap
    A
    license
    -
    quality
    D
    maintenance
    Provides intelligent, persistent memory for AI assistants with semantic search, natural language queries, and OAuth-based team collaboration, enabling context-aware conversations across multiple clients.
    7
    Apache 2.0

View all related MCP servers

Related MCP Connectors

  • Amber

    Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.

  • goldhold

    Persistent memory for AI agents. Search, store, and recall across sessions.

  • AI Context Flow

    Universal memory for AI agents and tools. Save, organize and search context anywhere.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Sid7on1/universal-memory-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server