๐ง๐ต๐ฒ ๐จ๐น๐ง๐ถ๐บ๐ฎ๐ง๐ฒ ๐๐จ๐ถ๐ฑ๐ฒ ๐ง๐ผ ๐๐จ๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐ ๐๐ฎ๐ฟ๐ฎ๐ณ๐ฒ๐น ๐ ๐๐ฃ ๐ฆ๐ฒ๐ฟ๐ฉ๐ฒ๐ฟ
You want to build a Laravel MCP server that answers questions over real data. Here's how you can do it:
- Learn what MCP is and how it differs from a traditional REST API.
- Test a server locally with the MCP Inspector.
- Make your tools "agent-native" with annotations and structured output.
- Connect the server to Claude Desktop and secure it for real use.
MCP is designed for AI models, not developers. It's a self-describing interface that lets models discover what's available at runtime. You'll learn how to build an MCP server that exposes a read-only sales dataset for ad-hoc querying.
Here's what you'll need to do:
- Register a server on a route in routes/ai.php.
- Use the MCP Inspector to test the server locally.
- Add annotations to your tools to make them agent-native.
- Connect the server to Claude Desktop and secure it with authentication and authorization.
You can find the complete, runnable server used in this tutorial on GitHub. Join the GyaanSetu AI Telegram channel for more information. Source: https://dev.to/tomshaw/building-a-laravel-mcp-server-that-answers-questions-over-real-data-3cjg Optional learning community: https://t.me/GyaanSetuAi