# Feature Suggestions (Supabase)

> Use this tool when you need to retrieve feature suggestions from a Supabase database, allowing AI assistants to access and analyze feature request data within conversations. It solves problems of manual database queries and provides a streamlined interface for retrieving records from the feature_suggestions table with optional limit parameters. Ideal for workflows where AI assistants require direct access to feature request data, it outputs relevant feature suggestions based on input queries.

Canonical page: https://skillsregistry.net/skills/adiletd-feature-suggestions-supabase  
JSON: https://api.skillsregistry.net/v1/skills/adiletd-feature-suggestions-supabase

## Description

The Supabase MCP Server connects AI assistants to a Supabase database, allowing them to query feature suggestions stored in the database. Built with TypeScript using the Model Context Protocol SDK, it provides a single tool called 'query_feature_suggestions' that retrieves records from the feature_suggestions table with optional limit parameters. The server includes robust error handling and logging capabilities, making it ideal for workflows where AI assistants need to access, analyze, or present feature request data directly within conversations without requiring manual database queries.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/adiletd-feature-suggestions-supabase)
- **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-suggestions-supabase"
    }
  }
}
```

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

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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