What does Feature Request Collection do?

It's an MCP server that connects AI tools like Cursor and Claude to your Supabase database, specifically enabling you to query the `feature_suggestions` table.

What are the prerequisites for using this tool?

You'll need Node.js (v16 or higher), npm, and a Supabase project with valid credentials (URL and anon key).

How do I connect this to Cursor?

In Cursor settings, add a new MCP server with the type 'command' and the command pointing to your `mcp-server.ts` file using `npx tsx`.

Can I limit the number of feature suggestions returned?

Yes, you can use the optional `limit` parameter in your query. The default limit is 100.

What if I'm having trouble connecting?

Double-check your Supabase credentials in the `.env` file, ensure the `feature_suggestions` table exists in your Supabase database, and check the console output for error messages.

Feature Request Collection

Name: Feature Request Collection
Author: adiletD

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Connects AI tools to a Supabase database, enabling queries of the feature_suggestions table.

This tool provides a Model Context Protocol (MCP) server to interface with a Supabase database, specifically the feature_suggestions table. By connecting to AI tools like Cursor and Claude, it allows users to seamlessly query and retrieve feature suggestions directly within their development workflow. The server is built with TypeScript and requires minimal setup, making it easy to integrate into existing Supabase projects.