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Search local documents to ground LLM answers in your files.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-doc-search" yet — see the docs or source repo.
Search my local project docs folder for content related to "API authentication," then list the 5 most relevant documents and extract the key passages.
A list of relevant documents, matching excerpts, and a short summary for quick reference.
Using the employee handbook in my local folder, answer: "What is the annual leave request process?" Include the source document and section.
An accurate document-grounded answer with traceable source references.
Scan my local research materials folder, find documents about "user retention," group them by theme, and summarize each conclusion.
Theme-based document groupings with concise summaries of the main findings in each group.
Search files, inspect directories, and read text, PDF, and DOCX content.
Fetch and parse llms.txt docs for dynamic AI documentation search and Q&A.
Search official library docs and return clean text ready for LLM use.
Connect AI to Google Docs for document search, reading, creation, and updates.
Enable full-text search across Markdown and MDX documentation folders.
Search local markdown vector stores with LLMs and evaluate retrieval quality.