Allows querying of the feature_suggestions table in a Supabase database, with optional limits on the number of records returned.
Supabase MCP Server
This is a Model Context Protocol (MCP) server that connects to Supabase and allows you to query the feature_suggestions table.
Prerequisites
- Node.js (v16 or higher)
- npm
- Supabase project with credentials
Setup
- Make sure your
.env
file contains the following Supabase credentials: - Install the required dependencies:
Running the Server
Run the MCP server using:
Or use the npm script:
Connecting to AI Tools
Cursor
- Open Cursor and navigate to Cursor Settings.
- Under the Features tab, tap + Add new MCP server under the MCP Servers section.
- Enter the following details:
- Name: Supabase
- Type: command
- Command:
npx tsx /path/to/mcp-server.ts
- You should see a green active status after the server is successfully connected.
Claude Desktop
- Open Claude desktop and navigate to Settings.
- Under the Developer tab, tap Edit Config to open the configuration file.
- Add the following configuration:
- Save the configuration file and restart Claude desktop.
Available Tools
query_feature_suggestions
Query the feature_suggestions table in your Supabase database.
Parameters:
limit
(number, optional): Maximum number of records to return (default: 100)
Example usage in AI tool:
Or with a limit:
Troubleshooting
- If you encounter connection issues, make sure your Supabase credentials are correct.
- Check the console output for any error messages.
- Ensure that the feature_suggestions table exists in your Supabase database.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A Model Context Protocol server that enables querying feature suggestions from a Supabase database, allowing AI tools like Cursor and Claude to access and display feature request data.
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