Feature Suggestions (Supabase)
About
Connects AI assistants to a Supabase database for querying feature suggestions, enabling direct access to feature request data within conversations without manual database queries.
Details
- Author
- adiletd
- Repository
- adiletD/feature-request-collection-mcp
- Categories
- Database, Other, Productivity, Developer Tools, Design, AI, Search, Infrastructure, Frontend
Jump to
Query the feature_suggestions table in your Supabase database.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Feature Suggestions (Supabase)Command (node, npx, python, etc.)npxArguments-
Argument 1
tsx -
Argument 2
/path/to/mcp-server.ts
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
1. Make sure your .env file contains the following Supabase credentials:
SUPABASE_URL=your_supabase_url
SUPABASE_ANON_KEY=your_supabase_anon_key
2. Install the required dependencies:
npm install
Run the MCP server using:
npx tsx mcp-server.ts
Or use the npm script:
npm run dev
query_feature_suggestions
Query the feature_suggestions table in your Supabase database. Parameters: limit (number, optional) - Maximum number of records to return (default: 100).
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"feature suggestions (supabase)": {
"env": {},
"args": [
"tsx",
"/path/to/mcp-server.ts"
],
"shell": false,
"command": "npx"
}
}
}Linux
{
"env": [],
"args": [
"tsx",
"/path/to/mcp-server.ts"
],
"shell": false,
"command": "npx"
}Macos
{
"env": [],
"args": [
"tsx",
"/path/to/mcp-server.ts"
],
"shell": false,
"command": "npx"
}Windows
{
"env": [],
"args": [
"/c",
"npx",
"tsx",
"/path/to/mcp-server.ts"
],
"shell": false,
"command": "cmd"
}This is a Model Context Protocol (MCP) server that connects to Supabase and allows you to query the feature_suggestions table.
- Node.js (v16 or higher)
- npm
- Supabase project with credentials
-
Make sure your.envfile contains the following Supabase credentials:
SUPABASE_URL=your_supabase_url SUPABASE_ANON_KEY=your_supabase_anon_key
- Open Cursor and navigate toCursor Settings.
- Under theFeaturestab, tap+ Add new MCP serverunder theMCP Serverssection.
- Enter the following details:
- Name: Supabase
- Type: command
- Command:npx tsx /path/to/mcp-server.ts
- Open Claude desktop and navigate toSettings.
- Under theDevelopertab, tapEdit Configto open the configuration file.
- Add the following configuration:
{ "mcpServers": { "supabase": { "command": "npx", "args": ["tsx", "/path/to/mcp-server.ts"] } } }
Query the feature_suggestions table in your Supabase database.
- limit(number, optional): Maximum number of records to return (default: 100)
Can you show me feature suggestions from the database?
Can you show me the top 10 feature suggestions?
- 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.
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