{"repo":"neo4j/mcp","free":true,"listed":false,"github":"https://github.com/neo4j/mcp","clone":"git clone https://github.com/neo4j/mcp.git","description":"Neo4j official MCP Server","language":"Go","stars":283,"topics":[],"license":null,"category":"mcp-servers","readme_excerpt":"Neo4j MCP Neo4j MCP gives AI assistants and LLM-powered tools direct, structured access to your Neo4j graph database. By implementing the Model Context Protocol (MCP), it acts as a bridge between any MCP-compatible client, such as Claude, Cursor, or VS Code with MCP support, and your Neo4j instance. Features - Explore your graph schema - discover node labels, relationship types, and property keys - Let AI reason on your data model without prior knowledge - Run Cypher queries - execute, read, and write queries against your database in response to natural language prompts - Inspect and analyze data - retrieve nodes, relationships, and paths to answer questions, generate summaries, or feed data to other workflows Tools - get-schema — introspect labels, relationship types, property keys - read-cypher — execute read-only Cypher queries that do not modify database data, enforced via EXPLAIN and Neo4j's query-type classification. Note: custom procedures or functions incorrectly classified as read-only by Neo4j may bypass this check; ensuring correct classification is the responsibility of the procedure/function maintainer. - write-cypher — execute write Cypher queries (disabled if NEO4J READ ONLY=true ) - list-gds-procedures — list available GDS procedures Installation Install with PyPI: Otherwise see MCP documentation - Installation. Server configuration (VSCode) Create / edit mcp.json : See MCP documentation Configuration for more details. Links - Documentation: The official Neo4j","default_branch":null,"files":null,"tree":[],"storefront":"/r/neo4j","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/neo4j/mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}