Python Workers: FastMCP Example MCP Server

@davila7

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Basic information

About Python Workers: FastMCP Example MCP Server

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#fastapi #python #workers

Python Workers: FastMCP Example MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

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Python Workers: FastMCP Example MCP Server tools

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Overview

What is Python Workers: FastMCP Example?

This is an example of a Python Worker that uses the FastMCP package, designed for deployment on Cloudflare Workers. It is intended for developers who want to build MCP servers using Python on Workers.

How to use Python Workers: FastMCP Example?

To develop, run npx wrangler@latest dev. To deploy, run npx wrangler@latest deploy. Before deployment, packages must be vendored using Python 3.12 with a special process described in the README.

Key features of Python Workers: FastMCP Example

Example of a Python Worker using FastMCP
Supports vendored packages for Worker compatibility
Requires Python 3.12 for package management
Deployment limited to Workers Paid plan
Includes testing with pytest and linting with Ruff

Use cases of Python Workers: FastMCP Example

Deploying an MCP server on Cloudflare Workers
Prototyping FastMCP-based applications in a serverless environment
Learning how to vendor Python packages for Workers
Testing MCP server functionality with local development

Frequently asked questions

What is the Worker size limit for this example?

Due to the size of the Worker, this example can only be deployed on the Workers Paid plan. Free plan users will encounter deployment errors because the Worker exceeds the 3MB size limit.

What Python version is required for vendoring packages?

Only Python 3.12 works for the vendoring process. Other versions of Python will not work.

How do I add additional packages to this example?

You need to install vendored packages using the pyodide build environment. Run the command `pip install -t src/vendor -r vendor.txt` inside the `.venv-pyodide` virtual environment. Re-run this command for any additional packages.

How can I test and lint this project?

Run `pytest tests` to execute tests. For linting and formatting, use `ruff check .` and `ruff format .` respectively, after installing Ruff.

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