pulsemcp Safe content atomic mcp-remote

Supabase

This AI Surge MCP server provides database integration capabilities through Supabase, enabling AI assistants to interact with PostgreSQL databases for data storage and retrieval operations. Built by ErlichLiu using Python with the MCP framework and Supabase client libraries, the implementation establishes a connection to Supabase's hosted database service using environment-configured credentials. The server is designed for use cases where AI applications need persistent data storage, user data management, or integration with existing Supabase-powered applications, making it valuable for building AI assistants that can maintain state, store conversation history, or access structured business data.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/erlichliu/ai-surge-mcp
Author type: human
Updated: 2026-04-25

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MCP

Resolve 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"