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Activepieces

Open-source workflow automation where every integration doubles as an MCP server for AI agents.

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About

Activepieces is an open-source workflow automation platform — a self-hostable alternative to Zapier and Make — with a visual flow builder, loops, branches, retries, inline code, and human-in-the-loop approvals. Its MIT-licensed community edition and roughly 21,000–24,000 GitHub stars make it one of the most permissive automation tools in the category, with 60% of its piece library community-contributed.

What sets it apart for AI developers is its MCP-first architecture: every one of its 280+ integration pieces is automatically exposed as an MCP server, so agents in Claude Desktop, Cursor, or Windsurf get authenticated access to hundreds of APIs with no extra configuration. Native AI agent nodes connect to OpenAI, Anthropic, Gemini, and local Ollama models with automatic tool calling. Cloud pricing starts with a free tier, then charges per active flow rather than per execution.

What it can do

  • Visual workflow builder with 280+ integration pieces
  • Every piece auto-exposed as an MCP server for AI agents
  • Native AI agent nodes with multi-LLM support
  • Versioned flows with human-in-the-loop approvals

Setup

Self-host with docker compose up from the GitHub repo, or sign up for Activepieces Cloud.

Prerequisites

Docker for self-hosting; accounts for the services you want to connect.

Use cases

workflow-automationai-agentsmcpintegrations

Works with

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 60; Trending score 78/100 from researcher assessment.

★ 21,500 GitHub stars

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.