agents-docs
Related Servers
Alternatives to agents-docs
No user-submitted related servers found.
Related Servers
AlicenseNot gradedqualityCmaintenanceA lightweight, domain-agnostic hybrid search engine for markdown corpora, exposed via the Model Context Protocol (MCP), optimized for serving SDK documentation to AI coding agents.8AGPL 3.0- AlicenseNot gradedqualityDmaintenanceProvides local technical documentation with hybrid search (semantic + BM25) for AI agents, ensuring access to up-to-date framework docs.MIT
- AlicenseNot gradedqualityAmaintenanceMarkdown-first long-term memory for AI coding agents, enabling hybrid search over local files via MCP tools.18Apache 2.0
- AlicenseAqualityAmaintenanceMCP server that gives AI coding agents on-demand access to private project docs via BM25 ranked search. One setup for Claude Code, Cursor, Codex, Gemini CLI, and more. Docs stay private, never in public repos.1516Apache 2.0
- FlicenseNot gradedqualityDmaintenanceMCP server + RAG chatbot that makes your MDX documentation searchable by AI assistants. Built on BM25 + metadata filtering.-
- AlicenseAqualityDmaintenanceLocal-first context retrieval engine that serves precise documentation chunks to coding agents via MCP, ensuring high-confidence context for code generation.3MIT
TDQS
Scored across 8 tools
Each tool targets a clearly distinct operation: search vs. full fetch, write vs. delete vs. list, external sync vs. catalog listing, and a specialized model playbook. The descriptions explicitly delineate boundaries (e.g., write_doc for facts vs. agents-memory for prefs). No two tools can be easily confused.
All tool names follow a consistent snake_case verb_noun pattern (search_docs, get_doc, write_doc, delete_doc, list_docs, sync_external_doc, get_model_playbook, list_catalog). There are no deviations in casing or verb style.
Eight tools is well-scoped for a documentation management server. Each tool serves a unique purpose—retrieval, mutation, listing, external sync, and playbooks—with no redundancy or bloat.
The surface covers full CRUD (write with overwrite for update, get/search/list, delete) plus external synchronization, catalog browsing, and specialized model playbooks. No obvious gaps in the documentation lifecycle are apparent.