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securityA
license-
qualityThis server facilitates the invocation of AI models from providers like Anthropic, OpenAI, and Groq, enabling users to manage and configure large language model interactions seamlessly.
Last updated -
9
MIT License
构建 MCP 服务器
有关如何构建 MCP 服务器以服务于经过训练的随机森林模型并将其与 Bee Framework 集成以实现 ReAct 交互的完整演练。
亲眼见证它的精彩表现📺
启动 MCP 服务器🚀
克隆此 repo
git clone https://github.com/nicknochnack/BuildMCPServer运行 MCP 服务器
cd BuildMCPServeruv venvsource .venv/bin/activateuv add .uv add ".[dev]"uv run mcp dev server.py要运行代理，请在单独的终端中运行：
source .venv/bin/activateuv run singleflowagent.py
启动 FastAPI 托管的 ML 服务器
git clone https://github.com/nicknochnack/CodeThat-FastMLcd CodeThat-FastMLpip install -r requirements.txtuvicorn mlapi:app --reload
关于如何构建它的详细说明也可以在这里找到
其他参考
构建 MCP 客户端（用于单流代理）
我构建机器学习服务器的原始视频
谁、何时、为什么？
👨🏾💻 作者：Nick Renotte 📅 版本：1.x 📜 许可证：本项目采用 MIT 许可证
This server cannot be installed
将经过训练的随机森林模型与 Bee Framework 相集成的服务器，使 AI 工具和代理能够与 ReAct 进行交互。
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