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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.
Retrieve and process docs with vector search to enrich AI responses.
Search locally indexed PDF docs with citations and context for LLM agents.
Turn unstructured documents into a searchable knowledge base for AI agents.
Lets coding agents search and retrieve real documentation through an MCP server.
Search local Markdown files and return full document contents for use.
Search official library docs and return clean text ready for LLM use.