aiohttp-mcp
Tools for building Model Context Protocol (MCP) servers on top of aiohttp
kulapard
README
aiohttp-mcp
Tools for building Model Context Protocol (MCP) servers on top of aiohttp.
Features
- Easy integration with aiohttp web applications
- Support for Model Context Protocol (MCP) tools
- Async-first design
- Type hints support
- Debug mode for development
- Flexible routing options
Installation
With uv package manager:
uv add aiohttp-mcp
Or with pip:
pip install aiohttp-mcp
Quick Start
Basic Server Setup
Create a simple MCP server with a custom tool:
import datetime
from zoneinfo import ZoneInfo
from aiohttp import web
from aiohttp_mcp import AiohttpMCP, build_mcp_app
# Initialize MCP
mcp = AiohttpMCP()
# Define a tool
@mcp.tool()
def get_time(timezone: str) -> str:
"""Get the current time in the specified timezone."""
tz = ZoneInfo(timezone)
return datetime.datetime.now(tz).isoformat()
# Create and run the application
app = build_mcp_app(mcp, path="/mcp")
web.run_app(app)
Using as a Sub-Application
You can also use aiohttp-mcp as a sub-application in your existing aiohttp server:
import datetime
from zoneinfo import ZoneInfo
from aiohttp import web
from aiohttp_mcp import AiohttpMCP, setup_mcp_subapp
mcp = AiohttpMCP()
# Define a tool
@mcp.tool()
def get_time(timezone: str) -> str:
"""Get the current time in the specified timezone."""
tz = ZoneInfo(timezone)
return datetime.datetime.now(tz).isoformat()
# Create your main application
app = web.Application()
# Add MCP as a sub-application
setup_mcp_subapp(app, mcp, prefix="/mcp")
web.run_app(app)
Client Example
Here's how to create a client that interacts with the MCP server:
import asyncio
from mcp import ClientSession
from mcp.client.sse import sse_client
async def main():
# Connect to the MCP server
async with sse_client("http://localhost:8080/mcp") as (read_stream, write_stream):
async with ClientSession(read_stream, write_stream) as session:
# Initialize the session
await session.initialize()
# List available tools
tools = await session.list_tools()
print("Available tools:", [tool.name for tool in tools.tools])
# Call a tool
result = await session.call_tool("get_time", {"timezone": "UTC"})
print("Current time in UTC:", result.content)
if __name__ == "__main__":
asyncio.run(main())
More Examples
For more examples, check the examples directory.
Development
Setup Development Environment
- Clone the repository:
git clone https://github.com/kulapard/aiohttp-mcp.git
cd aiohttp-mcp
- Create and activate a virtual environment:
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
- Install development dependencies:
uv sync --all-extras
Running Tests
uv run pytest
Requirements
- Python 3.10 or higher
- aiohttp >= 3.9.0, < 4.0.0
- aiohttp-sse >= 2.2.0, < 3.0.0
- anyio >= 4.9.0, < 5.0.0
- mcp >= 1.6.0, < 2.0.0
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
MCP Package Docs Server
Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
Claude Code MCP
An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
@kazuph/mcp-taskmanager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Linear MCP Server
Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.
mermaid-mcp-server
A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.
Jira-Context-MCP
MCP server to provide Jira Tickets information to AI coding agents like Cursor
Linear MCP Server
A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.
Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.