butterbase
Butterbase is an open-source backend-as-a-service (BaaS) platform built on TypeScript and Postgres, offering managed data, compute, AI, and identity services. It includes serverless functions, real-time subscriptions, file storage, an LLM gateway, and a Model Context Protocol (MCP) server for AI agent integration without vendor lock-in.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | butterbase-ai/butterbase |
| Owner | butterbase-ai |
| Primary language | TypeScript |
| License | Apache-2.0 — OSI-approved |
| Stars | 2.4k |
| Forks | 146 |
| Open issues | 1 |
| Latest release | Unknown |
| Last updated | 2026-07-07 |
| Source | https://github.com/butterbase-ai/butterbase |
What butterbase is
A self-hostable BaaS runtime written in TypeScript (Fastify control-api, Deno serverless runtime) with a Postgres data plane, row-level security, durable objects (stateful actors), S3/R2 storage, Redis-backed KV and real-time subscriptions, pluggable AI gateway, RAG, and native MCP server exposure for agentic applications.
Get the butterbase source
Clone the repository and explore it locally.
git clone https://github.com/butterbase-ai/butterbase.gitcd butterbase# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Self-hosted deployment requires Docker, Node 22+, and npm; stack includes Postgres (control, data, runtime planes), Redis, LocalStack (S3), and Deno runtime. Plan for multi-container orchestration and persistent volumes.
- Schema and migrations are not auto-applied; manual `npm run migrate:all` required after stack start. Establish migration management and rollback procedures before production use.
- AI gateway, billing, and quotas use no-op/unlimited defaults in self-hosted mode. Wire custom BillingProvider, QuotaEnforcer, and RouterAdapter implementations if metering or rate limits are required.
- MCP server is built-in at `/mcp` (HTTP) and via `@butterbase/mcp` CLI. Validate MCP tool discovery, schema inference, and error handling for your AI agent framework before relying on agentic workflows.
- Row-level security is first-class but requires careful policy design; use provided RLS helpers (`/rls`) and audit via `/audit-logs` to prevent data leakage in multi-tenant scenarios.
When to avoid it — and what to weigh
- You need a stable, battle-tested production service today — Repository created 2026-05-20, no versioned releases, continuous development. Early-stage maturity unsuitable for mission-critical systems without significant internal testing and vetting.
- You require commercial SLA, enterprise support, or legal indemnity — This is the open-source runtime. Managed offering (butterbase.ai) may offer SLAs and support, but terms and coverage are not documented in this data. Requires review for enterprise contracts.
- You need out-of-the-box, zero-config AI router adapters — Self-hosted version runs AI gateway without upstream router adapters; you must wire your own implementations via BillingProvider, QuotaEnforcer, RouterAdapter interfaces. Managed tier includes upstream adapters (private repo).
- You depend on integrations or specific third-party connectors — Integrations layer exists (Composio-based), but depth and stability of individual connectors are not documented. Audit required if specific integrations are critical.
License & commercial use
Apache License 2.0 (Apache-2.0). A permissive, OSI-approved license allowing commercial use, modification, and distribution under the Apache 2.0 terms, including copyleft obligations (derivative works must disclose source) and indemnity limitations.
Apache-2.0 permits commercial use of the software itself. However, the managed offering (butterbase.ai) likely has separate commercial terms. For self-hosted commercial deployments, comply with Apache-2.0 (attribution, disclose modifications if you distribute). No guarantee of indemnity or SLA; review your liability exposure independently. If you depend on the managed service, contact butterbase.ai for commercial terms, SLA, and support coverage—not stated in this data.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Good |
| Assessment confidence | Medium |
Row-level security is built-in and promoted as first-class. Audit logs track KV and other surfaces. However, no public security audit, pen-test results, or vulnerability disclosure policy are documented. Self-hosted deployment shifts responsibility to operators: validate Postgres credentials, Redis auth, S3 bucket ACLs, JWT configuration, and OAuth provider setup. MCP tools expose backend capabilities; validate that MCP tool invocation is gated by auth and quota enforcement. Early-stage maturity suggests potential undiscovered issues; treat as pre-production until validated in your threat model.
Alternatives to consider
Supabase
Mature, battle-tested open-source BaaS with Postgres, Auth, Storage, Realtime, and Edge Functions. No native MCP or AI gateway; add-ons required. Larger community and production track record.
Firebase / Google Cloud Backend
Fully managed, multi-region, enterprise SLA. Proprietary; vendor lock-in. No self-host option. Superior scale and ops maturity if lock-in is acceptable.
AWS Amplify / Serverless Framework
AWS-native, mature, enterprise support. Lower-level primitives (Lambda, DynamoDB, RDS); requires more wiring. No built-in MCP; integrations with agents require custom code.
Build on butterbase with DEV.co software developers
Butterbase is ideal for teams building AI-driven applications and seeking vendor independence. Review SETUP.md, test the local quickstart, and validate MCP integration with your LLM framework. For production use, confirm stability and ops readiness with the team.
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butterbase FAQ
Can I use Butterbase in production today?
What's the difference between self-hosted and butterbase.ai?
Do I need to understand Deno to deploy functions?
How does MCP integration work with my LLM?
Software developers & web developers for hire
Need help beyond evaluating butterbase? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and mcp servers integrations — and maintain them long-term.
Evaluate Butterbase for Your Backend Needs
Butterbase is ideal for teams building AI-driven applications and seeking vendor independence. Review SETUP.md, test the local quickstart, and validate MCP integration with your LLM framework. For production use, confirm stability and ops readiness with the team.