What is MCP Server Template (Python)?
It is a template for building Model Context Protocol (MCP) servers in Python, designed to quickly create servers that expose tools and prompts for AI models.
@Nisarg38
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-template-python-nisarg38": {
"command": "python",
"args": [
"-m",
"src.main"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A ready-to-use template for building Model Context Protocol (MCP) servers in Python. It helps you quickly create servers that register and expose tools and prompts for AI models to use.
Install the package with pip, then run with python -m src.main or the mcp-server-template CLI. Customize with command-line options like --port, --debug, --transport stdio, and --log-level. Add your own tools and prompts by editing src/main.py and using the @mcp.tool() and @mcp.prompt() decorators.
It is a template for building Model Context Protocol (MCP) servers in Python, designed to quickly create servers that expose tools and prompts for AI models.
Python 3.10 or newer is required.
Edit `src/main.py` and add a function with the `@mcp.tool()` or `@mcp.prompt()` decorator, following the provided examples.
The server supports HTTP (default on port 8080) and stdio transport. Use `--transport stdio` for stdio.
You can build a Docker image using the provided Dockerfile, or deploy on cloud platforms like AWS, GCP, or Azure, including Kubernetes.

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