Neo4j GraphRAG MCP Server
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TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose with no overlap: fulltext_search uses Lucene queries, vector_search uses embeddings, search_cypher_query combines both with graph traversal, read_neo4j_cypher handles general read queries, and get_neo4j_schema_and_indexes provides metadata. The descriptions explicitly differentiate their use cases and when to apply each, preventing confusion.
All tool names follow a consistent snake_case pattern with clear verb_noun or noun_verb structures: fulltext_search, vector_search, search_cypher_query, read_neo4j_cypher, get_neo4j_schema_and_indexes. The naming is predictable and readable, making it easy for agents to infer functionality.
With 5 tools, this server is well-scoped for Neo4j GraphRAG operations. It covers essential search methods (fulltext, vector, hybrid), general querying, and schema inspection without being overly sparse or bloated. Each tool serves a unique and necessary function in the workflow.
The toolset provides strong coverage for search and querying in a Neo4j GraphRAG context, including schema inspection, multiple search types, and flexible Cypher execution. A minor gap is the lack of write operations (e.g., create/update nodes), but this aligns with a read-focused RAG server, and agents can work around this limitation.