A
licenseNot graded
qualityD
maintenanceProvides AI assistants with direct access to local Markdown documentation libraries, enabling them to list, read, and search through docs on demand.
MIT
MCP Knowledge Base Server
by Sachin-wish
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TDQS
A4/5.0
Scored across 6 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: searching, fetching full documents, listing documents, listing tags, reloading the index, and showing stats. There is no overlap that would cause an agent to select the wrong tool.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern (search_, get_, list_, reload_, etc.). The pattern is predictable and easy to infer for additional tools.
Tool Count5/5
Six tools is well within the ideal range for a knowledge base server. Each tool serves a distinct function, and the count feels neither too sparse nor bloated.
Completeness4/5
The tool set covers all core operations: search, read, list, and maintenance. Minor gaps exist (e.g., no tool to add or delete documents via the API, but that may be intentionally managed filesystem-side). Reload and stats provide necessary lifecycle support.
Maintenance
ActivityMaintained
ResponsivenessNo issues