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Search, fetch, and list knowledge documents across repositories.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "knowledge-mcp" yet — see the docs or source repo.
Search all repositories for documents about "cache invalidation" and return the most relevant titles, snippets, and locations.
A ranked list of relevant documents with titles, snippets, and match info.
Fetch the full content of this document and keep its original structure.
The full content of the requested document is returned.
List the available documents, organized by name and location.
A document list organized by name and location.
When developers or researchers need to quickly find topic-specific material across multiple repositories, this tool provides unified search. It is well suited for locating specs, notes, and other knowledge documents.
When the target document is already known, users can fetch its content directly instead of opening repositories manually. This is useful for reading context, checking details, or quoting the source.
When users need to inventory the documents in a repository, they can list them first and then decide what to search or read next. This fits knowledge audits and document reviews.
It is a knowledge-retrieval MCP server for searching, fetching, and listing documents across repositories. The description also says it offers stable retrieval tools with hybrid lexical search and optional semantic search.
According to the description, it provides three stable tools: search documents, fetch document contents, and list document entries.
Yes, it supports optional semantic search as well as hybrid lexical retrieval.
Serve local knowledge bases to MCP agents for search, listing, and document retrieval.
Manage project knowledge and requirements with fast full-text search and updates.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.
Secure internal knowledge retrieval with permission-aware access control and citation enforcement.
Index GitHub Markdown into Cloudflare KV for fast AI search and retrieval.
Use MCP to query knowledge hubs, search collections, and summarize documents.