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MCP Python Sdk Inmemory Server Tests
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MCP Python Sdk Inmemory Server Tests

This project provides sample code and tests for MCP tool development, demonstrating how to conduct reliable tests through in-memory client sessions and avoid asynchronous pitfalls.
Developer toolsArtificial intelligence chatbots#Asynchronous testing#In-memory session#MCP tool#Unit testing.Python
2 points
6.6K
Open Site

Overview

Content Details

Alternatives

What is the MCP Python SDK test suite?

This is a test framework specifically designed for Model Context Protocol (MCP) tool developers. It provides an in-memory testing environment and asynchronous testing examples to help developers build more reliable MCP tools.

How to use this test suite?

You can run tests with simple commands, and it also supports integration with MCP Inspector for debugging.

Applicable scenarios

Suitable for MCP tool developers to verify asynchronous logic, test the behavior of in-memory servers, and build automated testing processes.

Main features

In-memory test server
Provide an in-memory implementation of the MCP server, allowing you to test tool functions without real deployment.
Asynchronous testing support
A testing solution specifically for asynchronous scenarios such as asyncio, avoiding common asynchronous pitfalls.
Development and debugging integration
Seamlessly integrate with MCP Inspector for easy development and debugging processes.
Advantages
Quick verification: In-memory testing does not require deploying a real server.
Comprehensive coverage: Pay special attention to error-prone asynchronous scenarios.
Developer-friendly: Provide a complete local development and debugging toolchain.
Limitations
Only applicable to Python development environments.
Requires pre-installation of dependencies such as Node.js.
There may be differences between in-memory testing and real environments.

How to use

Environment preparation
Install the necessary runtime environment, including Node.js and Python dependencies.
Install the Python toolchain
Use the uv tool to install Python dependencies.
Run tests
Execute the test suite to verify functionality.
Debugging and development
Use MCP Inspector for interactive debugging.

Usage examples

Test asynchronous functions
Verify the correct behavior of asynchronous functions in the tool.
In-memory server testing
Use the in-memory server to verify the interaction between the tool and MCP.

Frequently Asked Questions

Why is a Node.js environment required?
What is the uv tool?
How to report issues found during testing?

Related resources

MCP Inspector project
A visualization tool for debugging MCP tools.
Volta documentation
Documentation for the JavaScript tool manager.
uv documentation
Documentation for the high-speed Python package installation tool.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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