agentleFS
butterbase-aibutterbase-ai/butterbase-oss/SKILL.md

butterbase

Skill3k starsChanged 5 months agoApache-2.0View on GitHub

AI-native, open-source backend-as-a-service with a built-in Model Context Protocol server. Postgres, auth, storage, functions, AI gateway.

  • Reads credentials

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Add to your MCP config:

    line 59

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Butterbase

AI-native, open-source backend-as-a-service with a built-in Model Context Protocol (MCP) server. Postgres data plane, auth, storage, serverless functions, AI gateway, RAG, realtime, and durable objects — all drivable by an AI agent via MCP tools.

This repo ships the open-source runtime. The managed offering at butterbase.ai adds multi-region orchestration, billing, and ops.

What the MCP server can do

Nearly 40 tools across the platform's surface area, including:

  • Apps & regions — init_app, manage_app (actions: list/delete/pause/get_config/update_access_mode/secure/update_cors/set_visibility/preview_clone_env_vars/clone/get_clone_job/find_templates/set_clone_webhook/link_substrate/unlink_substrate/move/move_status/teardown_source_replica), list_regions
  • Schema — manage_schema (declarative DSL, dry-run diffs), manage_migrations
  • Auth — manage_auth_config, manage_auth_users, manage_oauth
  • Data — select_rows, insert_row, seed_database
  • Functions — deploy_function, invoke_function, manage_function
  • Storage — manage_storage (presigned URLs, ACLs)
  • Frontends — create_frontend_deployment, manage_frontend, manage_edge_ssr
  • RAG — manage_rag_content, rag_query
  • Realtime & Durable Objects — manage_realtime, manage_durable_objects
  • AI gateway — manage_ai (chat, embeddings, BYOK)
  • Row-Level Security — manage_rls
  • Integrations — manage_integrations (Composio: email, Slack, GitHub, Notion, Linear, CRM)
  • Billing — manage_billing (Stripe Connect)
  • KV, API keys, audit logs, and more

Install

Option 1 — Claude Code plugin (recommended)

claude plugin marketplace add https://github.com/butterbase-ai/butterbase-skills
claude plugin install butterbase-skills@butterbase-skills

Plugin includes 39 guided skills and 34 slash commands (/butterbase-skills:journey, /butterbase-skills:build-app, …) and auto-configures the MCP server.

Option 2 — Hosted MCP (any client)

Add to your MCP config:

{
  "mcpServers": {
    "butterbase": {
      "url": "https://api.butterbase.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${BUTTERBASE_API_KEY}"
      }
    }
  }
}

Option 3 — Local stdio MCP

npx @butterbase/mcp

Or wire it up in your MCP config:

{
  "mcpServers": {
    "butterbase": {
      "command": "npx",
      "args": ["-y", "@butterbase/mcp"],
      "env": { "BUTTERBASE_API_KEY": "bb_sk_..." }
    }
  }
}

Option 4 — Self-host the whole stack

See the Quickstart in README.md. Requires Docker + Node 22+.

Get an API key

Sign up at butterbase.ai and generate a key, or self-host and use the CLI:

butterbase keys generate

Keys are prefixed bb_sk_….

Supported AI assistants

Any MCP-capable client works. Tested with: Claude Code, Claude Desktop, Cursor, Windsurf, Codex CLI.

Related

License

Apache-2.0

Optional video reference preparation

For explicitly declared AI-generated fictional characters, follow bundled AI command guidance. Use reference_declarations only when supplied or established by the caller, and choose prepare_references: "on_rejection" (default) or "upfront". Keep the same job ID through preparation and settlement. Do not infer consent or retry an uncertain paid submission. Preparation sends image bytes to a provider for storage; explain the retention behavior in the linked guide.

Download now (ZIP)

Trending

Quiet since June.thin dataabout the whole repository

Dec 2025: 0 mentionsJan 2026: 0 mentionsFeb 2026: 0 mentionsMar 2026: 0 mentionsApr 2026: 0 mentionsMay 2026: 0 mentionsJun 2026: 1 mentionJul 2026: 0 mentionsAug 2026: 0 mentionsSep 2026: 0 mentionsOct 2026: 0 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the butterbase-ai/butterbase-oss repository that our weekly crawl found: only 1 in all, so this is a hint, not a trend. There is no adoption data for this file yet.

Who's talking about butterbase-ai/butterbase-oss

The biggest 1 of 1 mention linking to the repository that our crawl found. Each line is their own headline.

  • Other versions1 project uses a version of this.

    Word for word · 1

    1. butterbase-ai/butterbase★ 3k100% same

    Edited · 0

    None found.

    Wrote their own version · 0

    None found.

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repositoryOne other file it gives its agents.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.