Overview
Activepieces is an open-source, no-code automation tool with a visual flow builder and a growing library of community-contributed "pieces" (connectors) written in TypeScript. It positions itself as an MIT-licensed Zapier alternative with strong AI/MCP support for building agents. The community edition is genuinely open source, with enterprise features available separately.
Key features
- Visual no-code flow builder for automations
- Community-contributed library of connectors ("pieces") written in TypeScript
- AI agent and MCP support for building agentic workflows
- Deployable via Docker, Docker Compose, Kubernetes, or manually
Our take
Activepieces is a credible open-source take on Zapier, with a clean visual flow builder and a community-driven library of TypeScript "pieces" that you can extend when a connector doesn't yet exist. The MIT-licensed community edition is genuinely open source rather than a crippled teaser, and the deployment options are broad, covering everything from a single Docker container to Kubernetes. Its current bet on AI agents and MCP support is a real plus if that's where you're headed. The caveat is the usual open-core split: some enterprise features live outside the community edition, and the connector catalog, while growing, is still smaller and less battle-tested than a mature commercial iPaaS, so you may end up writing pieces yourself. For self-hosters who want control and an open license that's a reasonable price; just verify the specific integrations you depend on actually exist before you commit.
Ideal for: Teams that want a self-hostable, genuinely MIT-licensed Zapier alternative and don't mind building their own connectors when one is missing.
Where it falls short of Zapier
- Smaller connector catalog than Zapier/Make; many niche apps still missing.
- Enterprise features (SSO, audit logs, projects/RBAC, embedding) require the paid edition.
- Self-hosting needs Postgres and Redis, so it is not a single-container setup.
- Younger ecosystem means fewer pre-built templates and community examples.
We list the gaps honestly so you can decide if the trade-off is worth owning your data.
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