MCP Server Template Kgi
M

MCP Server Template Kgi

The MCP server template project provides configuration examples for running MCP servers from GitHub, PyPI, or locally
2 points
6.6K

What is the MCP Server Template?

The MCP Server Template is a pre - configured server template that supports the rapid deployment and operation of MCP servers in different ways. It provides a standardized startup method, simplifying the server configuration process.

How to use the MCP Server Template?

You can choose to run this server template in three ways: from a GitHub repository, the PyPI package manager, or a local directory. Each method has corresponding configuration commands.

Applicable scenarios

Suitable for developers who need to quickly deploy MCP servers, especially in development and testing environments or scenarios where different server configurations need to be flexibly switched.

Main features

Multi - source support
Supports running the server from a GitHub repository, a PyPI package, or a local directory
Simple configuration
Provides a standardized JSON configuration format that is easy to understand and modify
Flexible deployment
Allows you to choose different deployment methods as needed
Advantages
Provides multiple deployment method options
Configuration is simple and clear
Facilitates the quick startup of a test environment
Limitations
Requires the pre - installation of the uvx or uv tool
Running locally requires specifying the correct directory path

How to use

Select the installation source
Select to install from GitHub, PyPI, or a local directory according to your needs
Prepare the running environment
Ensure that uvx (for GitHub/PyPI) or uv (for local running) is installed
Run the server
Execute the corresponding command according to the selected source

Usage examples

Quickly test new features
Developers can directly run the latest version of the server from GitHub for feature testing
Stable version deployment
The stable version released on PyPI can be used in the production environment
Local development and debugging
Developers can directly run and test after modifying the code locally

Frequently Asked Questions

What's the difference between uvx and uv?
How to specify a specific version?
What are the requirements for the directory path when running locally?

Related resources

GitHub repository
Project source code and documentation
PyPI page
Project release on PyPI
MCP protocol documentation
Official documentation of the Model Context Protocol

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "mcpservertemplate": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/narumiruna/mcp-server-template",
        "mcpservertemplate"
      ]
    }
  }
}

{
  "mcpServers": {
    "mcpservertemplate": {
      "command": "uvx",
      "args": ["mcpservertemplate"]
    }
  }
}

{
  "mcpServers": {
    "mcpservertemplate": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/home/<user>/workspace/mcp-server-template",
        "mcpservertemplate"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
9.5K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
10.9K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
9.0K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
10.5K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
12.7K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
10.2K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
10.4K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
11.6K
5 points
G
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
19.7K
4.3 points
M
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
27.9K
5 points
N
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
18.3K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
57.5K
4.3 points
U
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#
25.3K
5 points
F
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
52.5K
4.5 points
M
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
37.8K
4.8 points
G
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
19.3K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase