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Query Neo4j graph databases with natural language for fast relationship insights.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Neo4j Cypher Server" yet — see the docs or source repo.
Connect to the Neo4j database, find all users within two hops of "Zhang Wei", group and count them by relationship type, and provide the corresponding Cypher query.
A list of connected users within two hops, relationship type counts, and an executable Cypher query.
Find the shortest path between "Product A" and "Technology B" in the knowledge graph, explain what each hop represents, and output the Cypher query.
The shortest path result, a hop-by-hop relationship explanation, and the generated Cypher query.
Query the graph database for the top 10 entities referenced by the most other nodes, showing their names, reference counts, major relationship types, and the corresponding Cypher.
A top-10 list of high-impact entities, key metric summaries, and a reusable Cypher query.
Query and explore Neo4j graph databases with natural language and Cypher.
Turn PostgreSQL data into a Neo4j graph for natural language querying.
Connect AI to databases for queries, schema management, and data export.
Ingest documents into Neo4j to build and query a knowledge graph.
Query and retrieve data across GitHub, Neo4j, PostgreSQL, and Milvus.
Query databases in natural language and auto-generate and execute SQL.