Multi-Agentic RAG
🤖 Multi-Agentic RAG with MCP Tools - Intelligent query routing, document search, web search & geography services powered by LangGraph, Groq, and Pinecone
What is Multi-Agentic RAG?
Multi-Agentic RAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 🤖 multi-agentic rag with mcp tools - intelligent query routing, document search, web search & geography services powered by langgraph, groq, and pinecone
🤖 Multi-Agentic RAG with MCP Tools - Intelligent query routing, document search, web search & geography services powered by LangGraph, Groq, and Pinecone
This server falls under the Data Science & ML and Search & Data Extraction categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- 🤖 Multi-Agentic RAG with MCP Tools - Intelligent query routi
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx multi-agentic-rag-using-mcp-toolsConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Multi-Agentic RAG
What is Multi-Agentic RAG?
Multi-Agentic RAG is a Model Context Protocol (MCP) server that 🤖 multi-agentic rag with mcp tools - intelligent query routing, document search, web search & geography services powered by langgraph, groq, and pinecone It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Multi-Agentic RAG?
Follow the installation instructions on the Multi-Agentic RAG GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Multi-Agentic RAG?
Multi-Agentic RAG works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Multi-Agentic RAG free to use?
Yes, Multi-Agentic RAG is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Multi-Agentic RAG Alternatives — Similar Data Science & ML Servers
Looking for alternatives to Multi-Agentic RAG? Here are other popular data science & ml servers you can use with Claude, Cursor, and VS Code.
Ultrarag
★ 5.6kA Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
RocketRide
★ 3.1k📇 🏠 - MCP server that exposes RocketRide AI pipelines as t
Aix Db
★ 2.1kAix-DB 基于 LangChain/LangGraph 框架，结合 MCP Skills 多智能体协作架构，实现自然语言到数据洞察的端到端转换。
NeMo Data Designer
★ 1.9k🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
PaperBanana
★ 1.7kOpen source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.
MiniMax
★ 1.5kBridges MiniMax AI capabilities to the Model Context Protocol, enabling AI agents to perform image understanding, text-to-image generation, and speech synthesis. It provides a standardized interface for accessing MiniMax's core tools via JSON-RPC.
Browse More Data Science & ML MCP Servers
Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Multi-Agentic RAG in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Multi-Agentic RAG?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.