butterbase-ai/butterbase-skills

Plugin for Butterbase.ai

What it solves

It simplifies the integration between Claude Code and Butterbase, an AI-native Backend-as-a-Service. It removes the friction of manual API key configuration and provides Claude with the specific knowledge and tools needed to build, deploy, and manage backends using Butterbase.

How it works

The project is a plugin for Claude Code that auto-configures an MCP (Model Context Protocol) server connection via OAuth. It provides Claude with a CLAUDE.md context file for environment variables and patterns, and a set of 42+ MCP tools that allow the AI to interact directly with the Butterbase platform.

Who it’s for

Developers using Claude Code who want to quickly set up and manage an AI-native backend without manual configuration.

Highlights

  • OAuth Integration: Eliminates the need for copy-pasting API keys.
  • Comprehensive Toolset: Provides over 42 MCP tools for backend operations.
  • Guided Workflows: Includes specific skills for app building, schema design, frontend deployment, and RLS debugging.
  • One-Command Setup: Uses a CLI tool to install the MCP server across multiple supported AI clients (Cursor, VS Code, JetBrains, etc.).

Related

  • Project
    schlarpc/re-shell

    A Nix flake-based reverse engineering environment that integrates with Claude Code to provide automated, context-aware toolchains for analyzing binaries and network captures.

  • Project
    nicobailon/pi-intercom

    Pi‑intercom is a Pi‑extension that adds a local broker and a `/intercom` UI/tool, letting multiple Pi AI‑agent sessions on the same machine send, ask, reply, hand‑off, and cancel messages one‑to‑one. It supports aliases, blocking asks, safety knobs, and integrates with pi‑subagents for supervisor escalation, enabling coordinated multi‑agent workflows like planner‑worker delegation.

  • Project
    greenfield-inc/Pane

    A management layer for AI coding agents that automates git worktrees and provides isolated workspaces, remote access, and cross-machine orchestration.

  • Project
    guillermo-navas-palencia/optbinning

    A Python library for optimal binning of continuous variables using mathematical programming to improve feature engineering for predictive models and scorecards.