Aiohttp MCP
aiohttp-mcp is a library based on aiohttp for building server tools compliant with the Model Context Protocol (MCP) standard. It supports asynchronous design and type hints, facilitating the rapid development of MCP services.
rating : 2.5 points
downloads : 7.3K
What is aiohttp-mcp?
aiohttp-mcp is a Python toolkit that helps developers quickly build servers compliant with the Model Context Protocol (MCP) standard on the aiohttp framework. It provides simple and easy-to-use APIs to create and manage MCP tools.How to use aiohttp-mcp?
Simply install the aiohttp-mcp package, define your tool functions, and register them using the provided decorators to quickly set up a fully functional MCP server.Applicable scenarios
Suitable for scenarios that require providing standardized interfaces for AI models or data processing services, such as AI model serviceization and data processing microservices.Main features
aiohttp integration
Seamlessly integrate with the aiohttp framework and can run as an independent application or a sub - application.
MCP tool support
Provide decorators to simplify the definition and registration of MCP tools.
Asynchronous first
Designed based on asynchronous IO, suitable for high - performance applications.
Type hints
Fully support Python type hints to improve development efficiency.
Flexible routing
Support custom routing paths for easy integration into existing systems.
Advantages
Simple and easy to use, quickly build MCP services
Based on the mature aiohttp framework with reliable performance
Support asynchronous processing, suitable for high - concurrency scenarios
Flexible deployment methods, can be used as the main application or a sub - application
Limitations
Requires Python 3.10 or higher
Only supports the aiohttp framework and is not suitable for other web frameworks
Requires a certain understanding of the MCP protocol
How to use
Installation
Install the aiohttp-mcp package using pip or uv.
Define tools
Define your tool functions using the @mcp.tool() decorator.
Create an application
Create an application using build_mcp_app or setup_mcp_subapp.
Run the server
Run the application using aiohttp's web.run_app.
Usage examples
Time service
Create an MCP service that provides the time in different time zones
Calculation service
Create an MCP service that provides mathematical calculation functions
Frequently Asked Questions
Which Python versions does aiohttp-mcp support?
How to debug MCP tools?
Can it be used with other web frameworks?
How to handle errors in tool functions?
Related resources
aiohttp official documentation
The official documentation of the aiohttp framework
MCP protocol official website
Official introduction of the Model Context Protocol
GitHub repository
Source code and issue tracking for aiohttp-mcp
PyPI page
The PyPI release page for aiohttp-mcp

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