MCP Server Starter
A production-level starter template for MCP servers based on TypeScript, providing rapid development and testing tools.
rating : 2.5 points
downloads : 15
What is an MCP server?
An MCP (Model Context Protocol) server is a tool for interacting with AI models, allowing developers to customize the behavior and context of the models. This project provides a framework for quickly building MCP servers, supporting efficient development.How to use an MCP server?
You can quickly set up your own MCP server through simple steps. First, install the dependencies, and then run the script to start development.Applicable scenarios
Suitable for application scenarios that require customized AI model behavior, such as intelligent customer service and personalized recommendation systems.Main Features
Bun IntegrationUse the Bun framework for rapid development and testing to improve efficiency.
Biome ToolchainBuilt-in Biome supports code formatting and checking to ensure code quality.
Automated Version ManagementImplement automated version control through `standard-version` to simplify the release process.
Modular DesignA clear project structure facilitates expansion and maintenance, supporting independent development of MCP tools.
Advantages and Limitations
Advantages
Quickly set up an MCP server
Support multiple programming languages and tools
Active community with rich resources
Limitations
There may be a certain learning curve for beginners
Some advanced features require manual configuration
How to Use
Clone the Repository
Clone the project to your local machine via Git.
Install Dependencies
Use Bun to install the dependencies required for the project.
Run Tests
Run tests to verify that the environment is working properly.
Usage Examples
Create a Weather ToolDemonstrate how to create an MCP tool named 'weather'.
Start the ServerDemonstrate how to start the MCP server and listen for requests.
Frequently Asked Questions
How to add a custom tool?
How to deploy to Claude Desktop?
How to update the version?
Related Resources
GitHub Repository
Project source code and documentation.
Smithery Installation Guide
Quickly install the MCP server through Smithery.
Standard Version Documentation
Automated version management tool.
Featured MCP Services

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
141
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

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
1.7K
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
87
4.3 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
6.7K
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#
567
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
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points