What are the runtime dependencies?
Node.js and a running Neo4j graph database are required. The server uses the `@modelcontextprotocol/sdk` to implement MCP.
Neo4j预约系统 MCP 服务器
@golfamigo
Basic information
About Neo4j预约系统 MCP 服务器
No overview available yet
Neo4j预约系统 MCP 服务器 config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryNeo4j预约系统 MCP 服务器 tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Neo4j预约系统 MCP 服务器?
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.
How to use Neo4j预约系统 MCP 服务器?
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).
Key features of Neo4j预约系统 MCP 服务器
- Appointment, customer, and staff management
- Service and category management
- Membership level and staff availability management
- Notification system for customer alerts
- Business statistics and advertisement management
- User relationship management
Use cases of Neo4j预约系统 MCP 服务器
- AI‑powered booking assistants that create, query, update, or cancel appointments
- Automated customer and staff data management via natural language
- Real‑time business statistics and reporting for decision support
- Integrated notification and advertising workflows in a conversational interface
Frequently asked questions
How is the data stored and accessed?
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`).
Does the server require an initial setup?
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.
What transport or authentication does the server use?
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.
What are the known limitations?
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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