MCP Server Template H61
MCP server template project, providing configuration examples for running MCP servers from GitHub, PyPI, or locally
rating : 2.5 points
downloads : 7.9K
What is MCP Server Template?
MCP Server Template is a pre - configured server template that helps users quickly set up and run a Model Context Protocol (MCP) server. It provides standardized startup methods and configuration options.How to use MCP Server Template?
You can use this template in three ways: install directly from the GitHub repository, install via the PyPI package manager, or run from a local directory.Use Cases
Suitable for developers who need to quickly deploy MCP servers, especially team projects that want to standardize server configurations.Main Features
Multi - source Installation
Supports installation and running from three sources: GitHub, PyPI, or a local directory
uvx Tool Support
Use the uvx tool for convenient installation and management
Standardized Configuration
Provides a standardized MCP server configuration template
Advantages
Rapid deployment: Server setup can be completed within minutes
Flexibility: Supports multiple installation sources
Standardization: Provides consistent server configurations
Limitations
Requires pre - installation of the uvx tool
Running locally requires a Python environment
Advanced customization requires technical knowledge
How to Use
Choose an Installation Method
Choose to run from GitHub, PyPI, or locally according to your needs
Install Dependencies
Ensure that the uvx tool and Python environment are installed
Run the Server
Execute the corresponding command according to the selected installation method
Usage Examples
Quickly Test New Features
Developers can directly install the latest version from GitHub for feature testing
Deploy a Stable Version
Use the stable version released on PyPI in the production environment
Frequently Asked Questions
What is uvx? How to install it?
How to update the server version?
What permissions are required to run locally?
Related Resources
GitHub Repository
Project source code and issue tracking
PyPI Page
Officially released Python package
MCP Protocol Documentation
Official documentation for the Model Context Protocol

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.8K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
15.6K
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.7K
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
15.8K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.3K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
45.7K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.0K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
29.4K
4.8 points

