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Index and search local text files with token-level relevance matching.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-retrieve" yet — see the docs or source repo.
Search my local text files for content related to "vector retrieval" and list the most relevant passages by relevance.
Return highly relevant passages with file locations for quick navigation.
Retrieve the shared viewpoints and differences about "user growth strategy" across these documents, prioritizing the most relevant original excerpts.
Output a comparison of topic-relevant excerpts to help summarize similarities and differences.
Search my local notes for explanations of "ColBERT MaxSim" and return original sentences that can serve as evidence for an answer.
Return quotable evidence sentences and corresponding files for writing or research.
Search official library docs and return clean text ready for LLM use.
Search the web and read single or multiple pages efficiently.
Advanced file search for single files, recursive folders, and file metadata.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Browse and search local resumes and job application documents quickly.
Search books by author and find keywords inside local text files.