P

Prompt Tester

An MCP server tool for testing the effects of prompts from different LLM providers, supporting multi - turn conversations and comparative testing of OpenAI and Anthropic models.
2 points
18

What is the MCP Prompt Test Server?

The MCP Prompt Test Server is a tool that allows users to test prompts from different large language model (LLM) providers. It can be used to compare the effects of different models, optimize the expression of prompts, and manage multi - turn conversations.

How to use the MCP Prompt Test Server?

Using this server is very simple. Just install and start the server, and then enter the corresponding commands through the command line to test prompts. You can select different models and providers to compare their performance.

Application Scenarios

This server is very suitable for researchers, developers who need to compare the effects of different models, and teams who want to optimize dialogue systems.

Main Features

Support for multiple LLM providersYou can use multiple LLM providers such as OpenAI and Anthropic for testing.
Custom parameter settingsAllows users to adjust system prompts, user prompts, and other parameters such as temperature and maximum number of tokens.
Multi - model comparisonYou can test multiple models simultaneously to easily compare their performance differences.
Multi - turn conversation managementSupports starting, continuing, and obtaining the history of multi - turn conversations.

Advantages and Limitations

Advantages
Easy to install and configure
Support for multiple LLM providers and models
Provide detailed responses or error messages
Highly scalable and easy to integrate into other systems
Limitations
Requires a valid API key to run
Some advanced features may require additional configuration
Higher hardware resources may be required for large - scale deployment

How to Use

Install the server
Install the MCP Prompt Test Server via pip.
Configure the API key
Set environment variables or create a .env file to store your API keys.
Start the server
Run the server and specify the transport protocol and port.

Usage Examples

Test a single modelUse the GPT - 4 model to test a simple explanation of quantum computing.
Multi - model comparisonCompare the responses of OpenAI and Anthropic models to the same prompt.

Frequently Asked Questions

How to set the API key?
Does it support Langfuse?
How to stop a multi - turn conversation?

Related Resources

Official Documentation
Complete user manual and API reference.
GitHub Repository
Source code and contribution guidelines.
Tutorial Video
Quick start video.
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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