neo4j-contrib/mcp-neo4j
by neo4j-contrib · neo4j-contrib/mcp-neo4j
Install
See GitHub repository for installation instructions.
How to use neo4j-contrib/mcp-neo4j with Claude
neo4j-contrib/mcp-neo4j is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to other capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.
MCP servers in the Other category let AI agents interact directly with other systems — no custom API integration required. neo4j-contrib/mcp-neo4j is built in Python. See the GitHub repository for full documentation and configuration options.
Setup
- Clone or install from the GitHub repository
- Follow the README for environment setup and credentials
- Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
- Restart your client — neo4j-contrib/mcp-neo4j will appear in the available tools list
About neo4j-contrib/mcp-neo4j
neo4j-contrib/mcp-neo4j is an open-source MCP server in the Other category, built in Python. It connects Claude and other MCP-compatible clients to other systems directly. Source available on GitHub.
Use cases for Other MCP servers
- →Connect AI agents to specialized external systems
- →Automate custom workflows via API integration
- →Extend Claude capabilities with domain-specific tools
- →Build AI-powered integrations for niche use cases
Where neo4j-contrib/mcp-neo4j fits in an MCP workflow
Teams use neo4j-contrib/mcp-neo4j to give Claude a direct bridge into other workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.
neo4j-contrib/mcp-neo4j can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to other systems.
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