🚀 MCP Tester

What is MCP Tester? MCP Tester is a full-stack application designed to test and validate MCP server responses specifically for the Smithery AI app. How to use MCP Tester? To use MCP Tester, clone the repository, install the necessary dependencies for both the frontend and backend, set up environment variables, and run the application. Key features of MCP Tester? MCP Server Testing: Send requests and analyze API responses. Error Handling: Robust error handling with Axios. Optimized API Handling: Efficient API calls with structured responses. Environment Variables: Properly managed in both client and server. Deployment Ready: Backend on Render, Frontend on Vercel. Use cases of MCP Tester? Testing API responses for the Smithery AI app. Validating server responses during development. Ensuring robust error handling in API interactions. FAQ from MCP Tester? What technologies are used in MCP Tester? The project uses Vite and React for the frontend, and Express.js for the backend. Is MCP Tester easy to set up? Yes! The setup process is straightforward with clear instructions provided in the documentation. Where can I deploy MCP Tester? You can deploy the frontend on Vercel and the backend on Render.

As an MCP (Model Context Protocol) server, 🚀 MCP 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 Tester, clone the repository, install the necessary dependencies for both the frontend and backend, set up environment variables, and run the application. Key features of MCP Tester? MCP Server Testing: Send requests and analyze API responses. Error Handling: Robust error handling with Axios. Optimized API Handling: Efficient API calls with structured responses. Environment Variables: Properly managed in both client and server. Deployment Ready: Backend on Render, Frontend on Vercel. Use cases of MCP Tester? Testing API responses for the Smithery AI app. Validating server responses during development. Ensuring robust error handling in API interactions. FAQ from MCP Tester? What technologies are used in MCP Tester? The project uses Vite and React for the frontend, and Express.js for the backend. Is MCP Tester easy to set up? Yes! The setup process is straightforward with clear instructions provided in the documentation. Where can I deploy MCP Tester? You can deploy the frontend on Vercel and the backend on Render.

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