Deploying your first MCP server
The first step in allowing your AI integrations to access external tools via Metorial lies in deploying a MCP server.
What you will learn
How to deploy an MCP server
Before you begin
Deploying an MCP server
MCP servers in Metorial provide tools and resources to AI assistants through the Model Context Protocol. This guide will walk you through deploying your server and making it accessible to AI applications.
Open the Server Page
Navigate to the Servers section in the dashboard and select the GitHub MCP server.
Create a Server Deployment
Click Create Deployment to set up a new deployment of the MCP server.
Configure Deployment Settings
Set up your deployment configuration by choosing a clear, descriptive name for the deployment and generating a GitHub Personal Access Token. Store the token securely. For detailed steps on creating and managing your token, refer to the GitHub documentation.
Your Server is Ready
The server has now been deployed and is ready to use!
What’s Next?
🎉 You've successfully deployed your first MCP server! Next, we'll guide you through testing your server's capabilities.