mcp-rag
The MCP-RAG Server is an implementation of the Model Context Protocol (MCP) designed to enhance AI assistants by providing them with real-time access to relevant documentation through semantic vector search. It enables AI models to retrieve and process documentation, allowing for context-aware responses that are grounded in up-to-date information
Documentation
MCP-RAG
The MCP-RAG Server is an implementation of the Model Context Protocol (MCP) designed to enhance AI assistants by providing them with real-time access to relevant documentation through semantic vector search. It enables AI models to retrieve and process documentation, allowing for context-aware responses that are grounded in up-to-date information
Frequently asked questions
What is mcp-rag?
mcp-rag is The MCP-RAG Server is an implementation of the Model Context Protocol (MCP) designed to enhance AI assistants by providing them with real-time access to relevant documentation through semantic vector search. It enables AI models to retrieve and process documentation, allowing for context-aware responses that are grounded in up-to-date information
How do I install mcp-rag?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is mcp-rag open source?
Yes — it is hosted on GitHub at https://github.com/HarshDindeAI/MCP-RAG.
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