hermes-mcp
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- FlicenseAqualityCmaintenanceTransforms internal Hermes documents (PRDs, RFCs, specs) into agent tools for relevance search, metadata, and full content retrieval, plus a skill to cross-check specs against code.8-
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- AlicenseAqualityDmaintenanceEnables AI agents to search, browse, and recommend tools from the Hermes Agent ecosystem directory with zero configuration.85 npmMIT
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to securely search and list internal company documents via MCP tools, so they can answer employee questions based on current internal documentation.-
- AlicenseNot gradedqualityFmaintenanceEnables AI assistants to enhance their responses with relevant documentation through a semantic vector search, offering tools for managing and processing documentation efficiently.9 npm64MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to intelligently search and reference documentation using hybrid semantic + keyword search via MCP protocol.-
TDQS
Scored across 12 tools
Each tool targets a distinct resource or lifecycle action: products, projects, drafts, published documents, review/approval, search, and metadata lookups. The only potentially overlapping pair (update_draft vs update_document) is clearly separated by WIP status vs published status.
Tool names follow a consistent hermes_verb_noun pattern (list_*, create_*, update_*, get_*, approve_*, request_*), with a minor deviation in hermes_me which lacks an explicit verb. Overall the naming convention is predictable and readable.
Twelve tools is well within the typical well-scoped range and each tool supports a distinct part of the document management workflow. No redundant or filler tools are present.
The core document lifecycle is covered: create draft, update draft, request review, approve, update published metadata/status, search, and retrieve. Minor gaps exist around rejection/request-changes and explicit deletion, but these are workable given the documented status transitions.