Build & Monetize Your First MCP Server (Model Context Protocol) | MCPize Tutorial
By Sumit Saha
In the age of AI, the Model Context Protocol (MCP) has emerged as a highly lucrative career path for developers. Instead of just writing standard code, developers can now build universal plugins that connect powerful AI models directly to external data sources.
🎬 Watch the full tutorial: Build & Monetize Your First MCP Server (Model Context Protocol) | MCPize Tutorial
In this tutorial, we walk through the creation of a practical AI tool: a GitHub Issue Tracker MCP Server.
What We Cover:
- Server Setup: Using TypeScript and the Octokit SDK, we build a server capable of interacting with the GitHub REST API to fetch, level, and comment on repository issues automatically.
- AI Integration: We demonstrate how to expose this server to AI clients, specifically the Cursor code editor, allowing the AI to discover and utilize our custom tools.
- Deployment & Monetization: Building the tool is only half the battle. We introduce MCPize, a platform dedicated to hosting MCP servers for free. We cover how to deploy your server via the CLI and configure AI-assisted pricing plans to sell your product to a global audience.
If you want to transition from simply writing code to building scalable, monetizable AI products, mastering MCP is your next logical step. Check out the full video tutorial to get started!
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