{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-10-17/server.schema.json",
  "serverInfo": {
    "name": "neo4j-mcp",
    "title": "Official Neo4j MCP Server",
    "version": "1.5.2"
  },
  "description": "Official Neo4j MCP server. Exposes get-schema, read-cypher, write-cypher, and list-gds-procedures against any Neo4j database (Aura, self-managed, Docker, Desktop). Supports stdio and HTTP transports.",
  "websiteUrl": "https://neo4j.com/developer/genai-ecosystem/model-context-protocol-mcp/",
  "documentationUrl": "https://neo4j.com/docs/mcp/",
  "repository": {
    "url": "https://github.com/neo4j/mcp",
    "source": "github"
  },
  "transport": {
    "endpoint": "stdio"
  },
  "transports": ["stdio", "http"],
  "capabilities": {
    "tools": true,
    "resources": false,
    "prompts": false
  },
  "packages": [
    {
      "registry": "github-releases",
      "name": "neo4j/mcp",
      "url": "https://github.com/neo4j/mcp/releases"
    },
    {
      "registry": "docker",
      "name": "neo4j/mcp",
      "url": "https://hub.docker.com/r/neo4j/mcp"
    }
  ],
  "servers": [
    {
      "serverInfo": {
        "name": "mcp-neo4j-cypher",
        "title": "Neo4j Cypher MCP Server (Labs)",
        "version": "0.6.0"
      },
      "description": "Extracts the graph schema and runs read or write Cypher statements. Tools: get-neo4j-schema, read-neo4j-cypher, write-neo4j-cypher.",
      "repository": {
        "url": "https://github.com/neo4j-contrib/mcp-neo4j",
        "source": "github",
        "subfolder": "servers/mcp-neo4j-cypher"
      },
      "transport": {
        "endpoint": "stdio"
      },
      "transports": ["stdio"],
      "capabilities": {
        "tools": true,
        "resources": false,
        "prompts": false
      },
      "packages": [
        {
          "registry": "pypi",
          "name": "mcp-neo4j-cypher",
          "url": "https://pypi.org/project/mcp-neo4j-cypher/"
        }
      ]
    },
    {
      "serverInfo": {
        "name": "mcp-neo4j-memory",
        "title": "Neo4j Memory MCP Server (Labs)",
        "version": "0.4.5"
      },
      "description": "Stores entities, observations, and relationships in Neo4j to give agents long-term memory across conversations.",
      "repository": {
        "url": "https://github.com/neo4j-contrib/mcp-neo4j",
        "source": "github",
        "subfolder": "servers/mcp-neo4j-memory"
      },
      "transport": {
        "endpoint": "stdio"
      },
      "transports": ["stdio"],
      "capabilities": {
        "tools": true,
        "resources": false,
        "prompts": false
      },
      "packages": [
        {
          "registry": "pypi",
          "name": "mcp-neo4j-memory",
          "url": "https://pypi.org/project/mcp-neo4j-memory/"
        }
      ]
    },
    {
      "serverInfo": {
        "name": "mcp-neo4j-aura-manager",
        "title": "Neo4j Aura Manager MCP Server (Labs)",
        "version": "0.4.8"
      },
      "description": "Manages Neo4j Aura databases, tenants, and projects via the Aura API. Requires Aura API client-id and client-secret.",
      "repository": {
        "url": "https://github.com/neo4j-contrib/mcp-neo4j",
        "source": "github",
        "subfolder": "servers/mcp-neo4j-cloud-aura-api"
      },
      "transport": {
        "endpoint": "stdio"
      },
      "transports": ["stdio"],
      "capabilities": {
        "tools": true,
        "resources": false,
        "prompts": false
      },
      "packages": [
        {
          "registry": "pypi",
          "name": "mcp-neo4j-aura-manager",
          "url": "https://pypi.org/project/mcp-neo4j-aura-manager/"
        }
      ]
    },
    {
      "serverInfo": {
        "name": "mcp-neo4j-data-modeling",
        "title": "Neo4j Data Modeling MCP Server (Labs)",
        "version": "0.8.2"
      },
      "description": "Tools for creating, validating, visualizing, importing, and exporting Neo4j graph data models.",
      "repository": {
        "url": "https://github.com/neo4j-contrib/mcp-neo4j",
        "source": "github",
        "subfolder": "servers/mcp-neo4j-data-modeling"
      },
      "transport": {
        "endpoint": "stdio"
      },
      "transports": ["stdio"],
      "capabilities": {
        "tools": true,
        "resources": false,
        "prompts": false
      },
      "packages": [
        {
          "registry": "pypi",
          "name": "mcp-neo4j-data-modeling",
          "url": "https://pypi.org/project/mcp-neo4j-data-modeling/"
        }
      ]
    },
    {
      "serverInfo": {
        "name": "gds-agent",
        "title": "Neo4j GDS Agent MCP Server (Labs)",
        "version": "0.5.1"
      },
      "description": "Exposes Neo4j Graph Data Science algorithms (centrality, path-finding, community detection, similarity, embeddings) as MCP tools so an LLM can run them on a graph.",
      "repository": {
        "url": "https://github.com/neo4j-contrib/gds-agent",
        "source": "github"
      },
      "transport": {
        "endpoint": "stdio"
      },
      "transports": ["stdio"],
      "capabilities": {
        "tools": true,
        "resources": false,
        "prompts": false
      },
      "packages": [
        {
          "registry": "pypi",
          "name": "gds-agent",
          "url": "https://pypi.org/project/gds-agent/"
        }
      ]
    },
    {
      "serverInfo": {
        "name": "sandbox-mcp-server",
        "title": "Neo4j Sandbox MCP Server (Labs)",
        "version": "1.0.0"
      },
      "description": "Manages Neo4j Sandbox instance lifecycle (create, list, terminate), retrieves schema, and runs Cypher against sandbox databases. Hosted SSE endpoint, no local install.",
      "repository": {
        "url": "https://github.com/neo4j-contrib/sandbox-mcp-server",
        "source": "github"
      },
      "transport": {
        "endpoint": "https://mcp.sandbox.neo4j.com/sse"
      },
      "transports": ["sse"],
      "capabilities": {
        "tools": true,
        "resources": false,
        "prompts": false
      },
      "remotes": [
        {
          "transport": "sse",
          "url": "https://mcp.sandbox.neo4j.com/sse"
        }
      ]
    }
  ],
  "_meta": {
    "discovery": {
      "skillsIndex": "https://neo4j.com/.well-known/agent-skills/index.json",
      "linkset": "https://neo4j.com/.well-known/api-catalog",
      "llmsTxt": "https://neo4j.com/llms.txt"
    }
  }
}