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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 and retrieve up-to-date open-source docs locally for AI coding assistants.
Let AI read, search, summarize, and answer questions about local files.
Search local documents by keyword, fetch passages, and list sources offline.
Local-first MCP server for web search and developer documentation fetching.
Index docs from websites, repos, and folders for AI search and retrieval.
Search the web in real time, read URLs, and find technical docs.