MCP Server Template (Python)
by Nisarg38
A ready-to-use template for building Model Context Protocol (MCP) servers in Python. This template helps you quickly create servers that can register and expose tools and prompts for AI models to use.
Last updated: N/A
What is MCP Server Template (Python)?
This is a Python template for creating Model Context Protocol (MCP) servers. It provides a foundation for building servers that can register and expose tools and prompts for AI models to use, enabling AI models to interact with external resources and data.
How to use MCP Server Template (Python)?
- Clone the repository. 2. Install the package using
pip install -e ".[dev]". 3. Run the server usingpython -m src.mainormcp-server-template. 4. Customize tools and prompts by editingsrc/main.pyand adding functions with@mcp.tool()and@mcp.prompt()decorators. 5. Deploy using Docker or cloud platforms like AWS, GCP, or Azure.
Key features of MCP Server Template (Python)
Ready-to-use template
Easy tool and prompt creation
Command-line options for customization
Docker support for deployment
Support for HTTP and stdio transports
Use cases of MCP Server Template (Python)
Exposing external APIs to AI models
Providing AI models with access to databases
Enabling AI models to interact with the real world
Creating custom tools for AI model interaction
Building AI-powered agents
FAQ from MCP Server Template (Python)
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol for AI models to interact with external tools and prompts.
What Python version is required?
What Python version is required?
Python 3.10 or newer is required.
How do I add a new tool?
How do I add a new tool?
Edit src/main.py and add a new function with the @mcp.tool() decorator.
How do I deploy the server?
How do I deploy the server?
You can deploy the server using Docker or on cloud platforms like AWS, GCP, or Azure.
Where can I find more documentation?
Where can I find more documentation?
Visit modelcontextprotocol.io for MCP documentation.