@luridarmawan
基本信息
MCP & API Server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-api-server": {
"command": "bun",
"args": [
"run",
"dev"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
A lightweight, high-performance API server built with ElysiaJS on the Bun runtime. It integrates Model Context Protocol (MCP) for context-aware AI interactions and includes WebSocket support for real-time communication. Designed for developers who need a fast, scalable server with MCP and WebSocket capabilities.
Clone the repository, install dependencies with bun install, and start the development server with bun run dev. Access the base API at http://localhost:3000. For WebSocket interactions, connect using a client like wscat to ws://localhost:3000 and send JSON events (e.g., prayer:schedule). For MCP discovery, use the endpoint http://localhost:3000/mcp/.well-known/mcp.json. Build for production with bun run build and start with bun start.
MCP (Model Context Protocol) is a lightweight communication protocol for context-aware interactions with AI agents or applications. This server includes an MCP plugin registry and a discovery endpoint at `/.well-known/mcp.json`.
Bun runtime v1.0+ is required. Node.js is optional for installing tools like `wscat`. A WebSocket client (Postman, wscat, etc.) is needed for WebSocket interactions.
Two example events are included: `prayer:schedule` (get prayer times for a city) and `registration:new` (register a new user with name, phone, and email).
Build the project with `bun run build` and start the production server with `bun start`. It can be deployed on platforms like Vercel, Railway, Fly.io, or any Bun-supported environment.
No, the documentation is not yet complete. Refer to the README and the separate `MCP_and_API.md` file for additional details.
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