What are the runtime dependencies?
Node.js and a running Neo4j graph database are required. The server uses the `@modelcontextprotocol/sdk` to implement MCP.
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基本信息
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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Neo4j预约系统 MCP 服务器 is a booking system server built on the Neo4j graph database that exposes management tools (appointment, customer, staff, service, etc.) through the Model Context Protocol (MCP) for large language models like Claude. It is designed for developers integrating graph‑based scheduling and business operations into AI assistants.
Clone the repository, run npm install, copy .env.example to .env and configure the Neo4j connection and port, then execute npm run initialize once to set up database indexes and tool definitions. Start the server with npm start for production or npm run dev for development. The server provides MCP tools that can be invoked by any MCP‑compatible client (e.g., Claude).
Node.js and a running Neo4j graph database are required. The server uses the `@modelcontextprotocol/sdk` to implement MCP.
All data (users, bookings, staff, services, etc.) resides in the Neo4j graph database. Connection details are configured via environment variables (`NEO4J_URI`, `NEO4J_USERNAME`, `NEO4J_PASSWORD`).
Yes. On first deployment, run `npm run initialize` to create database indexes, constraints, and tool documentation. After that, the environment variable `SKIP_DB_INIT` can be set to `true` to skip these steps on subsequent starts.
The server listens on a configurable port (default `3003`) and communicates via the standard MCP protocol. No authentication or transport details beyond the port are described in the README.
The README does not mention any specific limitations. It notes that this is a pure MCP server branch with all API‑related code removed, so it is intended solely for MCP‑based integrations.

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