🧑🚀 全世界最好的LLM资料总结（Agent框架、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
Python Workers: FastMCP Example
This is an example of a Python Worker that uses the FastMCP package.
Adding Packages
Vendored packages are added to your source files and need to be installed in a special manner. The Python Workers team plans to make this process automatic in the future, but for now, manual steps need to be taken.
Vendoring Packages
First, install Python3.12 and pip for Python 3.12.
Currently, other versions of Python will not work - use 3.12!
Then create a virtual environment and activate it from your shell:
python3.12 -m venv .venv
source .venv/bin/activate
Within our virtual environment, install the pyodide CLI:
.venv/bin/pip install pyodide-build
.venv/bin/pyodide venv .venv-pyodide
Lastly, download the vendored packages. For any additional packages, re-run this command.
.venv-pyodide/bin/pip install -t src/vendor -r vendor.txt
Developing and Deploying
To develop your Worker, run npx wrangler@latest dev.
To deploy your Worker, run npx wrangler@latest deploy.
相关推荐
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
an easy-to-use dynamic service discovery, configuration and service management platform for building AI cloud native applications.
🔥 1Panel provides an intuitive web interface and MCP Server to manage websites, files, containers, databases, and LLMs on a Linux server.
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
🧑🚀 全世界最好的LLM资料总结（视频生成、Agent、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
AI's query engine - Platform for building AI that can answer questions over large scale federated data. - The only MCP Server you'll ever need
Memory for AI Agents; SOTA in AI Agent Memory; Announcing OpenMemory MCP - local and secure memory management.
Reviews
5
(1)
user_eJqPHRNe
2025-04-25
I'm genuinely impressed with python-workers-mcp by danlapid. It has significantly streamlined my workflow, making task management and automation a breeze. The seamless integration and user-friendly interface are top-notch. Highly recommend it to anyone looking to enhance their Python projects!