What Python version is required?
Python 3.10 or higher is required. Instructions for installing the correct version on macOS, Linux, and Windows are provided in the README footnotes.
@gupta-ujjwal
Basic information
This repository provides a template for setting up Model Context Protocol (MCP) servers for local development.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-templates": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}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.
MCP Servers Template is a starter repository for building Model Context Protocol (MCP) servers for local development. It includes three example implementations—Weather API, Calculator, and Notes—targeting developers who want to create or prototype MCP-compatible tools.
Clone the repository, create a virtual environment (Python 3.10+ required), install dependencies with uv pip install -r requirements.txt, then run a server using mcp dev servers/<filename>.py. For VS Code integration, add the corresponding server configuration to your settings.json.
get_alerts and get_forecast toolsPython 3.10 or higher is required. Instructions for installing the correct version on macOS, Linux, and Windows are provided in the README footnotes.
Use the command `mcp dev servers/<filename>.py`, replacing `<filename>` with `weather`, `calculator`, or `notes`.
It provides two tools: `get_alerts` to retrieve weather alerts for a US state, and `get_forecast` to get a weather forecast based on latitude and longitude.
Add an `"mcp"` entry to your `settings.json` with the server name, command (`bash`), and arguments that activate the virtual environment and run the server script, as shown in the README.
The project requires the FastMCP library, UV package manager, and other packages listed in `requirements.txt`. UV is used for faster dependency installation.

Turn Perfex CRM into an AI-ready workspace. This MCP server exposes your full REST API to Claude, ChatGPT and any AI agent, so leads, invoices and tasks are one prompt away.

The tools your AI needs to make your games. Turn prompts into production-ready game assets — animated characters with their weapons attached, seamless textures, terrain, VFX, HUDs — and playable game kits Unity, Godot, U
TestMu AI MCP Server lets developers run, debug, and triage tests through natural language directly from their IDE (Cursor, Claude, GitHub Copilot, and other MCP clients). It exposes five tools — HyperExecute (test orche
Set up and manage the Eddyter AI rich text editor by talking to your AI agent — for Claude, Cursor, Codex and other MCP tools. A Model Context Protocol server that lets AI tools add Eddyter to a React, Next.js, Vite or R
Gives AI agents public URLs (tunnels) for localhost, live HTTP traffic inspection, snapshot publishing, and access control. Part of LocalCan, the ngrok alternative for Mac, Windows and Linux. Free plan.
Comments