🧩 No-code & Low-code Builders
Activepieces
Activepieces is an open-source automation platform that lets you build workflows with a drag-and-drop builder and run them on your own infrastructure. It is fully MIT licensed, and its native support for the Model Context Protocol (MCP) makes it a natural home for AI agents that need tools.
Quick Facts
| Developer | Activepieces Inc., San Francisco (Y Combinator W23) |
|---|---|
| First released | 2023 |
| Latest version | See official website |
| Language | TypeScript, runs on Node.js |
| License | MIT, fully open source |
| Pricing | Free to self-host; cloud free tier and paid plans (see official website) |
What is Activepieces?
Activepieces is a workflow automation platform in the same family as Zapier and Make, but with a big difference: it is completely open source under the MIT license, so you can host it yourself, fork it, and even build on top of it commercially. Workflows are assembled visually from pieces, which are the platform's name for the individual steps that connect to apps.
The company was founded in 2023 by Mohamed El Banna and Ahmad Atwah, went through Y Combinator's W23 batch, and grew quickly thanks to its developer-friendly philosophy. The core is a TypeScript codebase that runs on Node.js, and the builder runs in your browser while execution happens on the server you control.
What sets Activepieces apart today is its embrace of MCP, the Model Context Protocol. You can expose your Activepieces flows as MCP servers so AI agents can call them as tools, or connect to external MCP servers from your workflows. That makes it a bridge between classic automation and the new world of agentic AI.
Key Features
- Visual workflow builder with branching, looping, and error handling
- 200+ integrations covering email, CRMs, databases, AI providers and more
- MCP server support so your workflows become tools for AI agents
- Code steps in TypeScript and Python for custom logic
- Self-hosted with Docker, plus an official cloud service
- Open source under MIT, with an active community contributing pieces
- Webhooks, scheduled triggers, and form triggers to start flows
- Version history, test runs, and built-in monitoring
How to get started
You can be up and running in minutes. The quickest route is the hosted cloud, which has a free tier, but self-hosting is a single Docker Compose command and gives you full control over your data and connections. The setup wizard walks you through creating your first flow.
The builder works like a flowchart: pick a trigger, add steps, configure each one with the fields shown in the sidebar, and hit test to see real data flow through. The docs site has a solid quickstart, and the community forum and Discord are good places to ask for help.
- Sign up for the cloud or run the Docker Compose self-hosted setup
- Create a new flow and choose a trigger such as Webhook or Schedule
- Add pieces and connect them step by step
- Test the flow with sample data
- Enable the flow and watch its runs in the monitoring tab
Use cases
- Giving AI agents tools: expose flows as MCP tools that an LLM can call
- Syncing leads from forms and landing pages into a CRM or spreadsheet
- Internal tooling that posts to Slack or Teams when events happen
- Data pipelines that transform and move records between databases
- AI content workflows that generate drafts and route them for approval
- White-label automation products built on top of the open source code
Pricing and licensing
Activepieces is genuinely free at the core: the MIT license lets anyone use, modify, and redistribute the software, including for commercial products. Self-hosting has no license fee and no artificial feature walls, which is the main reason teams pick it over proprietary competitors.
The company monetizes through Activepieces Cloud, which offers managed hosting, a free tier for light use, and paid plans that scale with tasks and team size. If you are not sure what a plan costs today, the official pricing page is the place to check, since cloud pricing changes as the product grows.
Pros and cons
The strongest arguments for Activepieces are the license and the AI story. MIT means zero licensing anxiety, and MCP support positions it well for the agent era, letting your existing automations become tools your AI assistants can call. The developer experience is also refreshing: you can inspect the code, write your own pieces, and contribute back.
The trade-offs are maturity and scale. The ecosystem of integrations is younger and smaller than Zapier's, so a niche app might lack a piece and need a webhook workaround. Heavy enterprise features like advanced SSO and audit logs are thinner than in proprietary rivals, and self-hosting again means you own operations.
Alternatives
- n8n: fair-code rival with strong AI nodes and a huge community
- Zapier: the hosted giant, easiest for non-technical teams
- Make: visual automation with a generous free tier and a big template library
- Windmill: open source, more developer oriented with code-first workflows
- Huginn: a self-hosted Ruby agent for personal automation enthusiasts