F
licenseNot graded
qualityB
maintenanceExposes a RAG agent built with LangGraph, enabling retrieval-augmented question answering over a PostgreSQL/pgvector corpus via the MCP protocol.
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Agentic RAG MCP
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TDQS
A4.6/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a distinct purpose: 'ask' provides synthesized answers, 'search' returns raw chunks, and 'ingest' adds content. There is no overlap or ambiguity between them.
Naming Consistency5/5
All tool names are single-word verbs in lowercase, following a consistent and predictable pattern. No mixing of conventions.
Tool Count5/5
Three tools is ideal for this RAG server: one for ingestion, one for answering, and one for raw retrieval. The scope is well-defined without unnecessary tools.
Completeness4/5
The tool set covers the core RAG workflow (ingest, ask, search). A potential minor gap is the lack of a delete or update tool, but for the stated purpose it is highly complete.
Maintenance
ActivityInactive
ResponsivenessNo issues