Mcp Testing

@marhoyon 10 months ago

1 MIT

FreeCommunity

AI Systems

Testing MCP server and client

What is Mcp Testing

mcp-testing is a testing framework designed for the MCP server and client, facilitating the development and debugging of applications that utilize the MCP protocol.

Use cases

Use cases for mcp-testing include testing MCP-based applications, developing new features for MCP servers, and debugging client-server interactions in real-time applications.

How to use

To use mcp-testing, you can start the MCP server by running ‘uv run mcp-server’ in your terminal. For debugging, use ‘mcp dev src/mcp_testing/server/fastmcp.py’. Additionally, you can start a FastAPI server with MCP support using ‘uv run api-server’.

Key features

Key features of mcp-testing include easy server startup, debugging capabilities, and integration with FastAPI for enhanced API support.

Where to use

mcp-testing can be used in software development environments where the MCP protocol is implemented, particularly in applications that require real-time communication or data exchange.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Mcp Testing

mcp-testing is a testing framework designed for the MCP server and client, facilitating the development and debugging of applications that utilize the MCP protocol.

Use cases

Use cases for mcp-testing include testing MCP-based applications, developing new features for MCP servers, and debugging client-server interactions in real-time applications.

How to use

Key features

Key features of mcp-testing include easy server startup, debugging capabilities, and integration with FastAPI for enhanced API support.

Where to use

mcp-testing can be used in software development environments where the MCP protocol is implemented, particularly in applications that require real-time communication or data exchange.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

Example MCP server and client

Start the MCP server

uv run mcp-server

Start the MCP server in debug mode

mcp dev src/mcp_testing/server/fastmcp.py

Start the FastAPI server with MCP support

uv run api-server

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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