A
licenseNot graded
qualityD
maintenanceEnables AI assistants to search and read offline documentation from synced libraries via MCP tools, providing hybrid keyword and semantic search without network calls.
2 npm
1
MIT
cody-mcp
by daolmedo
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TDQS
A3.7/5.0
Scored across 3 tools
Disambiguation3/5
ask_cody and search_team_knowledge both retrieve information about Cody, so an agent could confuse them for question-answering tasks. list_integrations is clearly distinct, but the overlap between the other two creates some ambiguity.
Naming Consistency5/5
All tools use snake_case with a verb_noun pattern (search_team_knowledge, list_integrations, ask_cody). The style is consistent and predictable.
Tool Count5/5
Three tools is well within the ideal range and each targets a distinct retrieval need: knowledge search, integration listing, and Q&A. No unnecessary tools.
Completeness4/5
The surface covers the core informational needs (search, list, ask), but lacks a dedicated tool to fetch full article or integration details. Agents can work around by following canonical URLs.
Maintenance
ActivityMaintained
ResponsivenessNo issues