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Smithery AI Cookbook Python Quickstart MCP Server

Learn to build MCP servers with copy-paste code examples in Python and TypeScript. Ideal for developers new to the Model Context Protocol who want working quickstarts and migration guides.

ai.smithery/smithery-ai-cookbook-python-quickstart

Hosted URL

https://server.smithery.ai/@smithery-ai/cookbook-python-quickstart/mcp

Transport

HTTP

Auth

No auth required

Smithery AI Cookbook Python Quickstart repository at a glance

Live signal from GitHub, refreshed weekly.

Stars

16

Last commit

Sep 23, 2025

License

MIT

Language

TypeScript

What the Smithery AI Cookbook Python Quickstart MCP server does

How models use it and what it is built for.

Learn to build MCP servers with copy-paste code examples in Python and TypeScript. Ideal for developers new to the Model Context Protocol who want working quickstarts and migration guides.

Connect to Smithery AI Cookbook Python Quickstart

Hosted endpoint — paste into any MCP client.

https://server.smithery.ai/@smithery-ai/cookbook-python-quickstart/mcp

Resources

Where to find authoritative docs and source for Smithery AI Cookbook Python Quickstart.

Example prompts for Smithery AI Cookbook Python Quickstart

Paste any of these into Agent Studio after connecting Smithery AI Cookbook Python Quickstart.

  • Show me how to create a basic FastMCP server with a greeting tool
  • How do I migrate an MCP server from STDIO to HTTP transport
  • Build a simple TypeScript MCP server that counts characters
  • What's the fastest way to test my MCP server locally with Smithery

Documentation from project README

View on GitHub

Excerpted from the project's README — boilerplate sections (license, changelog, contributing) omitted for clarity.

Smithery Cookbook

The Smithery Cookbook provides code examples and guides designed to help developers build MCP (Model Context Protocol) servers and clients, offering copy-able code snippets that you can easily integrate into your own projects.

Prerequisites

To make the most of the examples in this cookbook, you'll need:

  • Smithery CLI: Install with npm install -g @smithery/cli to access the interactive playground and development tools
  • Programming language runtimes for the examples you want to explore (Python 3.12+, Node.js 18+, etc.)
  • Basic understanding of the Model Context Protocol (MCP)

Quick Start

  1. Clone this repository:

    git clone https://github.com/smithery-ai/smithery-cookbook.git
    cd smithery-cookbook
    
  2. Choose an example and follow its README:

    cd servers/python/quickstart
    # Follow the README.md instructions
    
  3. Test with Smithery Playground:

    npx @smithery/cli playground --port 8081
    

    Note: Replace 8081 with the port your server is running on

  4. Deploy to Smithery (optional): Ready to share your MCP server? Deploy it here to host it on Smithery's platform.

Table of Recipes

Python Servers

TypeScript Servers

Development Workflow

Build and distribute your MCP servers with Smithery:

  1. Build your MCP server using the language and framework of your choice
  2. Test interactively with npx @smithery/cli playground
  3. Debug with real-time request/response inspection
  4. Deploy to Smithery's hosted platform - Deploy here
  5. Distribute your server gets its own page at smithery.ai/server/{name} for others to discover and use

Explore Further

Looking for more resources to enhance your MCP development experience?

If you have ideas for new examples or guides, share them on the issues page.

Continue reading on GitHub

Smithery AI Cookbook Python Quickstart MCP server — FAQ

Common questions about connecting and running Smithery AI Cookbook Python Quickstart.

  • What is the Smithery Cookbook and who should use it?

    The Smithery Cookbook is a collection of code examples and guides for building MCP servers and clients in Python and TypeScript. It's designed for developers learning the Model Context Protocol who want ready-to-use code snippets they can integrate into their projects.

  • What are the prerequisites to use these examples?

    You need the Smithery CLI (installed via `npm install -g @smithery/cli`), a programming language runtime (Python 3.12+ or Node.js 18+), and basic familiarity with the Model Context Protocol. The README does not specify other dependencies per example.

  • How do I test an MCP server from the cookbook locally?

    Clone the repository, navigate to your chosen example directory, and run `npx @smithery/cli playground --port 8081` (replacing 8081 with your server's port). This opens an interactive playground for testing your server.

  • Can I deploy these example servers to production?

    Yes, the cookbook includes optional deployment to Smithery's hosted platform. After testing locally, you can deploy at smithery.ai/new to host your server and get a public page at smithery.ai/server/{name} for others to discover.

  • What languages and frameworks does the cookbook cover?

    The cookbook provides examples in Python (using FastMCP) and TypeScript, with recipes ranging from basic quickstarts to advanced session configuration and Docker container migration. Both languages include STDIO-to-HTTP migration guides.

Run Smithery AI Cookbook Python Quickstart across 30+ AI models, side-by-side

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