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Mcp Supabase

Checked
heyvhuang·vlatest·agents·MIT

Helps with MCP tools, Supabase as part of orchestrating AI agents and multi-step workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add heyvhuang/ship-faster --skill mcp-supabase -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

heyvhuang

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned heyvhuang/ship-faster at 64047d24e0.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
64047d24e0
Manifest
skills/mcp-supabase/SKILL.md
Scanned
2 files, 330 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This MCP server enables AI agents to interact directly with Supabase, allowing them to execute SQL queries and manage database operations securely. It bridges the gap between autonomous agents and your existing Supabase infrastructure for real-time data access.

When to use it

  • Automate routine data retrieval tasks without writing custom backend code.
  • Enable agents to perform CRUD (Create, Read, Update, Delete) operations on user data.
  • Integrate AI workflows with analytics stored in your Supabase tables.
  • Allow agents to fetch real-time data for dynamic decision-making processes.

Key capabilities

  • Direct SQL query execution against Supabase databases.
  • Secure authentication handling via Supabase credentials.
  • Real-time database synchronization support.
  • Integration with the Model Context Protocol (MCP) framework.

Example prompts

  • "Fetch all active user accounts from the profiles table where the status is 'verified'."
  • "Update the inventory count for product ID 12345 in the products table by adding 50 units."
  • "Generate a summary report of total sales from the orders table for the last month."

Tips & gotchas

Ensure your Supabase project has appropriate Row Level Security (RLS) policies configured before connecting, as agents will inherit these permissions. Always validate SQL queries generated by the agent to prevent unintended data modifications or injection risks in production environments.