hermes-docs-mcp
Related Servers
Alternatives to hermes-docs-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients to search, navigate, and read the complete Hermes Agent documentation through a local SQLite FTS5 index, with tools for full-text search, page reading, and browsing documentation structure.MIT
- AlicenseNot gradedqualityDmaintenanceOn-device documentation search for agents54MIT
- AlicenseNot gradedqualityCmaintenanceEnables agents to search, retrieve, and list Hermes Agent documentation locally, version-matched to the installed commit, with fallback to GitHub when no local checkout exists.MIT
- AlicenseNot gradedqualityBmaintenanceProvides local technical documentation with hybrid search (semantic + BM25) for AI agents, ensuring access to up-to-date framework docs.MIT
- FlicenseNot gradedqualityCmaintenanceEnables agents to search a local, fully offline personal document library (Markdown/txt/PDF/docx) via SQLite FTS5 trigram search with subject-terminology expansion, returning every hit with its domain, document title, section path, and page or offset provenance. It also exposes domain statistics, incremental ingestion, and document deprecation as tools, alongside a read-only, runtime-persona-scoped ask/coverage mode.-
- FlicenseNot gradedqualityDmaintenanceCreates a local database of indexed technical documentation from web crawls and local files, enabling AI agents to efficiently search and retrieve documentation through MCP tools.1-
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: search returns relevant fragments from the documentation, while fetch retrieves a full page in markdown. Their descriptions explicitly state when to use each, leaving no ambiguity for an agent.
Both tool names are single, simple verbs (search, fetch) that directly describe their actions. This consistent minimalist pattern is predictable and easy to remember.
With only 2 tools, the server feels slightly thin for a documentation MCP, though the scope is narrow and focused on search + retrieval. According to the calibration, 1-2 tools is borderline, but each tool clearly earns its place.
The pair of search and fetch covers the core documentation lookup workflow well: find relevant fragments, then fetch the full page if needed. A minor gap is the lack of direct browsing or listing of documentation sections, but agents can work around this via search.