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Search local Markdown files and return full document contents for use.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "docs-rag-mcp" yet — see the docs or source repo.
Search local Markdown files for content related to “installation steps, environment setup, and starting the project,” then return the full content of the most relevant document.
Returns the full text of the most relevant installation or getting-started document for direct reference.
Search local Markdown files for materials about “authentication architecture, API design, and access control,” and provide the full highest-matching document.
Outputs the full Markdown document most relevant to the technical design topic.
Search Markdown files in the local knowledge base for content about “coding standards, commit rules, and review workflow,” and return the corresponding full text.
Provides the full text of the matched guideline document for quick lookup and reuse.
Search local markdown vector stores with LLMs and evaluate retrieval quality.
Search local Word and PDF files to answer document-based questions.
Search and question PDF documents with Pinecone and local AI models.
Ingest PDFs, run semantic search, and answer questions with source citations.
Search code and technical docs privately with local-first RAG for developers.
Turn unstructured documents into a searchable knowledge base for AI agents.