MCP Client for Testing

Name: MCP Client for Testing
Author: piebro

@piebro

代码仓库

关于 MCP Client for Testing

A simple MCP (Model Context Protocol) client for testing MCP Server

#testing #mcp #mcp-client

基本信息

分类

其他

许可证

MIT

运行时

python

传输方式

stdio

发布者

piebro

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-client-for-testing": {
      "command": "uvx",
      "args": [
        "mcp-client-for-testing",
        "\\"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Client for Testing?

MCP Client for Testing is a minimalistic client for testing tool calls in MCP (Model Context Protocol) servers. It is intended for developers who need to verify tool calls during MCP server development.

How to use MCP Client for Testing?

Install uv, then invoke from the command line using uvx mcp-client-for-testing with a JSON configuration and tool call definition. Alternatively, install the Python package and use the execute_tool function from mcp_client_for_testing.client in your own code. Command line flags allow setting client and server log levels.

Key features of MCP Client for Testing

Minimalistic design focused on testing tool calls
CLI invocation via uvx with JSON configuration
Python API for integration into test suites
Configurable client and server log levels
Works with any MCP server that can be launched as a subprocess
Supports passing environment variables to the server process

Use cases of MCP Client for Testing

Testing tool calls in a custom MCP server during development
Verifying tool call parameters, execution, and return values
Quick smoke tests using an echo MCP server
Debugging server configuration and environment settings
Automating tool call verification in CI pipelines

FAQ from MCP Client for Testing

What are the runtime requirements?

The client requires uv to be installed on the system. The server specified in the configuration must also be runnable from the command line.

How do I test a tool call?

Provide a JSON configuration with the server name, command, arguments, and environment, plus a --tool_call JSON specifying the tool name and its arguments.

Can I use it in my own Python code?

Yes. Install the package with uv pip install mcp-client-for-testing and import execute_tool from mcp_client_for_testing.client for async usage.

Is there an example server to test with?

Yes, the echo-mcp-server-for-testing server can be used with uvx to quickly verify the client works.

How do I configure logging?

Use the --client_log_level and --server_log_level flags with standard logging levels such as WARNING and INFO.

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