Developing with Neo4j MCP Tools
Learn to connect AI agents to Neo4j with the Model Context Protocol. Install the Neo4j MCP server, query graphs in natural language, and build apps.
Connect AI assistants to Neo4j with the Model Context Protocol — use the Neo4j MCP server, then build GraphRAG MCP tools in Python or TypeScript.
The Model Context Protocol (MCP) is an open standard that connects AI assistants to external systems. Connect an assistant to Neo4j through MCP and it can explore your schema, run Cypher, and answer questions grounded in your actual data rather than its training set — a language model reasoning over a knowledge graph, which is GraphRAG. Start with Developing with Neo4j MCP Tools to use the ready-made Neo4j MCP server, then build your own GraphRAG tools in Python or TypeScript.
Learn to connect AI agents to Neo4j with the Model Context Protocol. Install the Neo4j MCP server, query graphs in natural language, and build apps.
Build a custom MCP server in Python with FastMCP. Create Neo4j graph-backed tools, resources, and prompts that ground AI agents with GraphRAG.
Create a Model Context Protocol server in TypeScript. Define type-safe Zod tools, resources, and prompts that connect AI agents to Neo4j graph data.