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.4 npmMIT
- AlicenseAqualityAmaintenanceIndexes your project's markdown documentation and exposes it to AI agents via local hybrid search (lexical + semantic) with progressive disclosure tools.397 npm5MIT
- AlicenseAqualityCmaintenanceEnables AI assistants to search, retrieve, and browse Markdown documentation in a local folder, then answer questions with cited sources.6MIT
- FlicenseNot gradedqualityCmaintenanceTurns a directory of markdown documentation into searchable, citable tools for AI assistants, enabling targeted retrieval of specific sections with stable references.-
- AlicenseAqualityAmaintenanceEnables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.106 npm1MIT
- AlicenseAqualityCmaintenanceEnables AI assistants to navigate and query hierarchical documentation structures, supporting markdown files with YAML metadata and OpenAPI 3.x specifications. It features intelligent full-text search, metadata filtering, and a built-in web interface for both human and AI-driven documentation access.6MIT
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.