docs-mcp
OfficialRelated Servers
Alternatives to docs-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceGives AI agents full-text search over any Markdown/MDX documentation folder.6 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search and ask questions across versioned service documentation, retrieve documents and diffs, and find related docs with cited answers over Streamable HTTP, SSE, or stdio.296 npmMIT
- AlicenseAqualityBmaintenanceIndexes your project's markdown documentation and exposes it to AI agents via local hybrid search (lexical + semantic) with progressive disclosure tools.381 npm5MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to search, retrieve, and browse Markdown documentation in a local folder, then answer questions with cited sources.6MIT

Helpdock MCP Serverofficial
AlicenseNot gradedqualityBmaintenanceLets coding agents search a local Markdown docs folder, ask questions answered with linked source passages, and add or replace pages. Backed by Postgres full-text search with no vector database required.4 npm1MIT- FlicenseNot gradedqualityDmaintenanceTurns a directory of markdown documentation into searchable, citable tools for AI assistants, enabling targeted retrieval of specific sections with stable references.-
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: search_docs performs full-text search, get_doc retrieves a specific page or section by path, and list_docs browses page metadata. The descriptions explicitly clarify when to use each and how they relate, leaving little room for misselection.
All three tools follow a consistent snake_case verb_noun convention: search_docs, get_doc, list_docs. The pattern is predictable and readable across the entire set.
Three tools are well-scoped for a documentation server: search, retrieve, and list form a compact and complete read-only surface. No tool feels redundant or missing at this scope.
For a read-only documentation server, the surface covers discovery (list_docs), search (search_docs), and retrieval of full pages or sections (get_doc). There are no obvious operational gaps for the stated purpose.