A
licenseNot graded
qualityC
maintenanceEnables AI clients to interact with a LightRAG knowledge graph server via MCP, providing 30 tools for queries, document management, and graph operations.
42 npm
MIT
mcp-lightrag
by chacharin
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TDQS
A3.7/5.0
Scored across 33 tools
Disambiguation5/5
Each tool has a clearly distinct purpose; even similar tools like query/query_data and the various status getters are differentiated by explicit descriptions and intended use cases. No two tools appear to do the same thing.
Naming Consistency4/5
The vast majority follow a verb_noun snake_case pattern (get_, list_, create_, delete_), with only minor exceptions like 'health' and 'query' that are still readable and do not cause confusion.
Tool Count2/5
With 33 tools, the server exceeds the 25-tool threshold for 'too many'. While each tool is distinct, the large surface likely overwhelms agents and suggests some operations could be consolidated.
Completeness4/5
The tool set provides broad coverage of document ingestion, querying, status monitoring, and knowledge graph CRUD. Minor gaps like dedicated get_entity/get_relation tools are acceptable since get_knowledge_graph can retrieve entity and relation data.
Maintenance
ActivityNo data
ResponsivenessNo issues