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Retrieve technical documentation through MCP for accurate on-demand LLM references.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "docrag" yet — see the docs or source repo.
Search the technical documentation for "how to configure log levels and output formats," summarize the key steps, and include the relevant doc sources.
Returns the relevant configuration guidance, setup steps, and the corresponding document links or sections.
Search the documentation for "file upload API" usage, parameters, and sample code, then organize them into a concise list.
Outputs an API summary, parameter list, and code snippets for quick implementation.
Search the technical docs and compare authentication changes between v1 and v2, then explain the key migration considerations.
Provides a version difference comparison, migration notes, and the relevant documentation references.
Turn unstructured documents into a searchable knowledge base for AI agents.
Search local Markdown files and return full document contents for use.
Search official library docs and return clean text ready for LLM use.
Index documents and retrieve relevant context for better LLM responses.
Let AI securely query private local documents with persistent memory.
Search local documents with vector similarity for RAG answers.