Testing your first MCP server

Now that you've created your first MCP server, it's time to test its functionality. This guide will walk you through the steps to interact with your server and debug its responses.

What you will learn

How to test an MCP server

Testing an MCP server

MCP servers in Metorial provide tools, resources, and capabilities to AI assistants. In this guide, we will pick up on the the server deployed in the last step.

Open the Server Page

We start at the end of the last guide. Navigate to the overview page for your deployed GitHub MCP server.

MCP Server Overview

Open the Explorer

Click the Open Explorer button to open an interactive tool that lists all the MCP servers capabilities. capabilities.

Test Session Interface

Test Server Capabilities

Select the Repository Content resource template from the available options. Enter the repository owner, repository name, and the file path you want to target. These settings define the list and method information that your AI integrations will invoke automatically.

Session Viewer Interface

View Result

View the resulting response from the MCP server to see the data your AI integrations will consume.

MCP Message Stream

Explore Available Tool Calls

Navigate to the Tools section to browse available tool calls. Select the tool call you want to try out—here, it’s the fork_repository call. With the GitHub MCP server and a properly scoped Personal Access Token, your AI integrations can invoke any of these calls.

MCP Message Stream

What’s Next?

🚀 You’ve successfully deployed and tested your first MCP server. Next, you’ll learn how to grant your AI integrations secure access to your MCP servers.