Feature Suggestions (Supabase)
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Feature Suggestions (Supabase) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.