# Supabase MCP Server

> Use this tool when you need to integrate AI models with Supabase databases to retrieve feature suggestions and request data. It solves problems of data accessibility and visualization for AI tools like Cursor and Claude, enabling them to provide informed feature recommendations. The Supabase MCP Server takes database queries as input and outputs feature request data, making it ideal for use cases that require seamless interaction between AI models and Supabase databases.

Canonical page: https://skillsregistry.net/skills/adiletd-feature-request-collection-mcp  
JSON: https://api.skillsregistry.net/v1/skills/adiletd-feature-request-collection-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q0r0dogm3j)
- **Repository:** <https://github.com/adiletD/feature-request-collection-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "adiletd-feature-request-collection-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adiletd-feature-request-collection-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adiletd-feature-request-collection-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt