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Build routable knowledge graphs on SQLite or Postgres with secure MCP access.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Knowledge Graph RDBMS" MCP server from askskill: Run: claude mcp add 'io-github-cunicopia-dev-knowledge-graph-rdbms' -- uvx knowledge-graph-rdbms
Design a label property graph model for our product documentation on Postgres, including entity types, relationship types, sample nodes, query patterns, and how to expose it to an AI assistant through MCP.
A graph schema design, sample data, and MCP integration guidance.
I have three knowledge domains—customers, ontology terms, and technical assets. Design a multi-ontology routing strategy so the system can choose the right graph partition for each question, and provide query examples.
Routing rules, query flow, and cross-graph retrieval examples.
Explain how to configure a gated MCP server for this knowledge graph tool, including access control, connecting to SQLite and Postgres, audit recommendations, and production deployment considerations.
An MCP configuration approach, security control checklist, and deployment recommendations.
Ingest documents into Neo4j to build and query a knowledge graph.
Turn PostgreSQL data into a Neo4j graph for natural language querying.
Provide persistent graph memory, semantic search, and traversal for AI agents.
Query a learning corpus and knowledge graph through a unified MCP gateway.
Ingest and query structured and unstructured data across graphs, vectors, and LLMs.
Safely explore, profile, and query SQLite and PostgreSQL databases with AI.