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Expose your private FBBP knowledge base to agents and AI IDEs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "fbbp-mcp-rag-server" yet — see the docs or source repo.
You are an AI assistant connected to fbbp-mcp-rag-server. Answer my question about the deployment process using the private FBBP knowledge base, and cite the sources.
An accurate answer grounded in retrieved knowledge, with source references.
Use fbbp-mcp-rag-server to retrieve FBBP internal docs and summarize the key steps for new member onboarding as a concise checklist.
A structured checklist for quick team reference and action.
First retrieve content related to the API specification from the private FBBP knowledge base, then generate a code example and notes based on the retrieved context.
Code and explanations tailored to real internal documentation.
Turn unstructured documents into a searchable knowledge base for AI agents.
Intelligent RAG tool that chooses between private knowledge and web search.
Let AI securely query private local documents with persistent memory.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.
Index documents and retrieve relevant context for better LLM responses.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.