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Turn PostgreSQL data into a Neo4j graph for natural language querying.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Postgres-Neo4j MCP Server" yet — see the docs or source repo.
Using the Neo4j knowledge graph built from PostgreSQL, find Customer A's related orders, contacts, and support tickets from the last three months, then summarize the key relationships in bullet points.
Returns matching nodes and relationships, plus a clear summary of the key connections.
Check the knowledge graph for high-value customers without linked orders, duplicate contacts, or multiple accounts unusually tied to the same company, and list suspicious records.
Produces a list of anomalous relationships, organized by issue type with brief explanations.
Convert this request into an executable graph query: 'Find customers who bought Product X in the last 30 days and interacted with Sales Manager B,' and provide a sample REST API call.
Provides the corresponding graph query and a ready-to-use API request example.
Securely query and interact with PostgreSQL databases using natural language.
Query Neo4j graph databases with natural language for fast relationship insights.
Run Cypher queries and inspect Neo4j schemas for AI-driven graph exploration.
Let AI clients run PostgreSQL queries, inspect schemas, and analyze query plans.
Let AI query, manage, tune, and administer PostgreSQL databases deeply.
Ingest documents into Neo4j to build and query a knowledge graph.