MCP Prompt Tester

What is MCP Prompt Tester? MCP Prompt Tester is a simple server designed to allow agents to test prompts with various LLM providers, including OpenAI and Anthropic. How to use MCP Prompt Tester? To use MCP Prompt Tester, install the server using pip or uv, set up your API keys in a .env file or as environment variables, and start the server. You can then use the provided tools to test prompts. Key features of MCP Prompt Tester? Test prompts with OpenAI and Anthropic models Configure system prompts, user prompts, and other parameters Get formatted responses or error messages Easy environment setup with .env file support Use cases of MCP Prompt Tester? Testing different LLM prompts for accuracy and performance. Experimenting with various configurations to optimize responses. Integrating prompt testing into larger applications or workflows. FAQ from MCP Prompt Tester? What LLM providers can I use with MCP Prompt Tester? You can use OpenAI and Anthropic models. How do I set up my API keys? You can set up your API keys using environment variables or by creating a .env file in your project directory. Is there a sample code for using the prompt testing tool? Yes! The documentation includes an example of how to use the MCP client to call the prompt testing tool.

As an MCP (Model Context Protocol) server, MCP Prompt Tester enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use MCP Prompt Tester, install the server using pip or uv, set up your API keys in a .env file or as environment variables, and start the server. You can then use the provided tools to test prompts. Key features of MCP Prompt Tester? Test prompts with OpenAI and Anthropic models Configure system prompts, user prompts, and other parameters Get formatted responses or error messages Easy environment setup with .env file support Use cases of MCP Prompt Tester? Testing different LLM prompts for accuracy and performance. Experimenting with various configurations to optimize responses. Integrating prompt testing into larger applications or workflows. FAQ from MCP Prompt Tester? What LLM providers can I use with MCP Prompt Tester? You can use OpenAI and Anthropic models. How do I set up my API keys? You can set up your API keys using environment variables or by creating a .env file in your project directory. Is there a sample code for using the prompt testing tool? Yes! The documentation includes an example of how to use the MCP client to call the prompt testing tool.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.