MCP Test MCP
M

MCP Test MCP

An MCP server used to test other MCP servers, providing functions such as connection management, tool testing, resource reading, and prompt execution.
2.5 points
7.5K

What is the MCP Test Assistant?

The MCP Test Assistant is a tool specifically designed to test other MCP (Model Context Protocol) servers. It acts like a 'server tester', enabling AI assistants to connect to, explore, and verify the functionality of other MCP servers. With this tool, you can discover what tools, resources, and prompts the server provides and actually test whether they work properly.

How to use the MCP Test Assistant?

Using the MCP Test Assistant is very simple: First, configure it in your AI tool (such as Claude Desktop, Cursor, etc.). Then, tell it which MCP server to connect to through natural conversation. After connecting, you can inquire about the server's capabilities, test specific tools, read resource content, and even execute a complete prompt flow.

Applicable scenarios

The MCP Test Assistant is particularly suitable for the following scenarios: Verifying functionality when developing a new MCP server; Understanding the capabilities when integrating an existing MCP server; Using it as a practical tool when learning the MCP protocol; Diagnosing connection issues when debugging an MCP server.

Main Features

Connection Management
Supports connecting to any MCP server (STDIO or HTTP transport), automatically detects the protocol, and tracks the connection status in real - time. You can easily connect, disconnect, and view the current connection information.
Tool Testing
Lists all the tools provided by the server and their complete input parameter descriptions. You can invoke any tool and view the execution results, supporting complex parameter passing and error handling.
Resource Testing
Discovers all the resources provided by the server and their metadata. Supports reading text and binary content, and validates the validity of the resource URI and the content format.
Prompt Testing
Views all the prompt templates defined by the server and their parameter requirements. You can obtain the rendered prompt content and even perform end - to - end prompt execution tests through the integrated LLM.
LLM Integration
Optional feature: Sends prompts directly to the actual LLM (Large Language Model) for inference testing. Supports template variable replacement and JSON result extraction, enabling a complete end - to - end testing process.
Advantages
One - stop testing solution: Comprehensively test all the functions of an MCP server without writing code
User - friendly: Operate through natural language conversation without memorizing complex commands
Protocol - compatible: Supports both STDIO and HTTP MCP transport protocols, covering most servers
Detailed feedback: Provides complete tool parameter descriptions and execution results for easy debugging
Scalable: Supports LLM integration for end - to - end prompt execution testing
Limitations
Requires prior configuration: Needs to be configured in the AI tool before use
Depends on external LLM: The LLM integration function requires configuring an API key and endpoint
Network - dependent: Testing HTTP servers requires a network connection
Permission restrictions: Can only test servers with authorized access

How to Use

Configure the MCP Test Assistant
In the AI tool you are using (Claude Desktop, Cursor, Windsurf, etc.), add the MCP Test Assistant according to the corresponding tool's configuration method. Usually, you need to edit the configuration file or use the command - line tool to add it.
Connect to the target server
Tell the MCP Test Assistant which MCP server to connect to through conversation. You need to provide the server's path (for local STDIO servers) or URL (for HTTP servers).
Explore the server's functionality
Inquire about what tools, resources, and prompts the server provides. View the complete parameter descriptions and function descriptions to understand the server's capabilities.
Test specific functions
Select the functions you are interested in for testing. Invoke tools, read resources, obtain prompt rendering results, and verify whether the functions work as expected.
Disconnect
After testing is completed, you can disconnect from the target server to release resources.

Usage Examples

Test a newly developed MCP server
You have just developed a new MCP server and want to verify that all functions work properly. Using the MCP Test Assistant, you can quickly check tool invocation, resource access, and prompt rendering.
Understand the functionality of an existing server
You need to integrate a third - party MCP server but are not sure what functions it provides. Using the MCP Test Assistant, you can explore the server's full capabilities.
Debug server connection issues
Your AI tool cannot use a certain MCP server properly. Using the MCP Test Assistant, you can diagnose connection issues and verify whether the server is running normally.
End - to - end prompt testing
You want to test a complex prompt template, including variable replacement and LLM inference. Use the LLM integration function of the MCP Test Assistant for a complete test.

Frequently Asked Questions

What is the MCP Test Assistant? Do I need to install it?
What types of MCP servers can I test?
How to configure the LLM integration function?
Will there be security issues during testing?
What should I do if the connection fails?
Can I connect to multiple servers simultaneously?

Related Resources

FastMCP Official Documentation
Official documentation for the FastMCP framework. Understand the basics of MCP server development.
Model Context Protocol Specification
Official specification and standard documentation for the MCP protocol.
Cursor MCP Documentation
Detailed description and configuration guide for the MCP function in the Cursor editor.
Windsurf MCP Documentation
Configuration and usage instructions for the MCP server in the Windsurf IDE.
VS Code Copilot MCP Documentation
Integration guide for the MCP server of GitHub Copilot in VS Code.
GitHub Repository (Example)
Example GitHub repository address. Replace it with the real address in actual projects.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "mcp-test-mcp": {
      "command": "npx",
      "args": ["-y", "mcp-test-mcp"]
    }
  }
}

{
  "mcpServers": {
    "mcp-test-mcp": {
      "command": "npx",
      "args": ["-y", "mcp-test-mcp"],
      "env": {
        "LLM_URL": "https://your-llm-endpoint.com/v1",
        "LLM_MODEL_NAME": "your-model-name",
        "LLM_API_KEY": "your-api-key"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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