基于 FastAPI 和 MCP(模型上下文协议),实现 AI 模型与开发环境 之间的标准化上下文交互,提升 AI 应用的可扩展性和可维护性。
基于 FastAPI 和 MCP(模型上下文协议),实现 AI 模型与开发环境 之间的标准化上下文交互,提升 AI 应用的可扩展性和可维护性。
Built on FastAPI and MCP (Model Context Protocol), this project enables standardized context interaction between AI models and development environments. It enhances the scalability and maintainability of AI applications by simplifying model deployment, providing efficient API endpoints, and ensuring consistency in model input and output, making it easier for developers to integrate and manage AI tasks.
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| Variable | Description | Required |
|---|---|---|
| MCP_SERVER_HOST | Endpoint or connection string the server talks to. | Optional |
| MCP_SERVER_PORT | Configuration value read at startup. | Optional |
| MCP_SERVER_URL | Endpoint or connection string the server talks to. | Yes |
| PYTHONPATH | Python module search path for a local installation. | Optional |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
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