Easymcp
easyMcp is a tool that helps developers quickly build an extensible MCP server framework, supports two startup modes (stdio and SSE), and simplifies the development process.
rating : 2.5 points
downloads : 12
What is easyMcp?
easyMcp is a framework that helps developers quickly build a Model Context Protocol (MCP) server. It supports adding custom tools through simple configuration and provides two startup modes (stdio and SSE) to adapt to different usage scenarios.How to use easyMcp?
You can quickly build an MCP server in just two steps: defining necessary configurations and creating a custom tool class. It supports starting the service via the uv command and can be integrated with various MCP client tools.Applicable scenarios
It is suitable for scenarios where you need to quickly build an AI tool integration platform or add custom functions to LLM applications. It is especially suitable for development requirements that need to support both local command - line and web service call methods.Main features
Flexible configurationDefine the project - required configurations, such as database connection parameters, through the.env file.
Custom toolsQuickly create tool modules with specific functions by inheriting the BaseHandler class.
Dual startup modesSupport both stdio (standard input and output) and SSE (Server - Sent Events) service startup modes.
Advantages and limitations
Advantages
Rapid deployment: The basic framework can be set up in just two steps.
Easy to expand: New functions can be easily added through modular design.
Flexible adaptation: Support multiple client call methods.
Limitations
Requires basic Python development knowledge.
The current documentation is mainly technical documentation and lacks a complete user guide.
The error handling mechanism is relatively simple.
How to use
Define configurations (optional)
Define the project - required configurations, such as database connection parameters, in the src/config/.env file.
Create a custom tool
Create a tool class in the src/handles directory, inherit BaseHandler and implement the necessary methods.
Reference the new tool
Reference the newly created tool class in src/handles/__init__.py.
Start the service
Select a suitable startup mode (stdio or SSE) and run the service.
Usage examples
Database query toolCreate a custom tool that can query a MySQL database
API integration toolDevelop a tool to call an external API
Frequently Asked Questions
How to choose the startup mode?
Which methods must a tool class implement?
How to debug a custom tool?
Related resources
GitHub repository
Project source code and the latest version
MCP protocol documentation
Official documentation of the Model Context Protocol
UV tool documentation
Usage guide for the UV command - line 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
88
4.3 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

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

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