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Let AI securely query private local documents with persistent memory.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP RAG Server" yet — see the docs or source repo.
Connect to the MCP RAG Server, search my local project documents for "API authentication flow," and summarize the key steps with source files.
A document-grounded answer with an authentication flow summary and cited sources.
Search my PDF, Word, and Markdown files for information about "quarterly budget adjustments" and turn it into a bullet-point summary.
A concise bullet list synthesized from multiple file formats.
Using our earlier retrieval results about client contract terms, compare differences in liability and payment conditions, and cite the sources.
A comparative analysis that uses prior context and includes document citations.
Index documents and retrieve relevant context for better LLM responses.
Build private local RAG search and Q&A over personal documents.
Turn unstructured documents into a searchable knowledge base for AI agents.
Intelligent RAG tool that chooses between private knowledge and web search.
Search code and technical docs privately with local-first RAG for developers.
Enable MCP apps to process, retrieve, and query multimodal documents with RAG.