How does Meal Server connect to TheMealDB?
It uses TheMealDB’s free API (default key “1”) or a premium key if you have a subscription. The API key is set in the `.env` file.
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基本信息
A server that provides meal-related information through MCP tools
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mealserver": {
"command": "python",
"args": [
"mealserver.py"
]
}
}
}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。
Meal Server is a Python-based MCP server that provides a convenient interface to TheMealDB API through AI assistants like Claude or Cline. It allows users to search for and retrieve meal recipes, explore categories and cuisines, and create shopping lists using natural language.
Run python mealserver.py from the project directory. Configure environment variables in a .env file (copy from .env.example) to set TheMealDB API key, server host/port, security API key, logging level, and rate limits. Add the server to your MCP client’s settings (e.g., cline_mcp_settings.json) with the command uv --directory <path> run mealserver.py, then restart the client to use tools, resources, and prompts.
It uses TheMealDB’s free API (default key “1”) or a premium key if you have a subscription. The API key is set in the `.env` file.
Meal Server is written in Python and runs via `python mealserver.py`. It uses `uv` to manage the MCP client integration; no other runtime dependencies are mentioned in the README.
Configuration is stored in a local `.env` file in the project root. The `.env` file is excluded from version control via `.gitignore` to protect sensitive information like API keys.
The server uses MCP (Model Context Protocol) for communication with AI clients. It supports an optional API key for server‑to‑client security (set via `MCP_SERVER_API_KEY` in `.env`). Rate limiting (default 60 requests per 60 seconds) is also configurable.
It relies on the free tier of TheMealDB API (default key “1”). Rate limiting can be adjusted via environment variables. The server itself runs locally on the configured host and port (default 127.0.0.1:8080).
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