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Application Stack · automation

Activepieces

Automate cross-tool workflows when direct agent routines or a smaller script are not enough.

Workflows the agent can manage

  • connect business tools
  • run trigger/action flows
  • automate follow-up
  • operate recurring workflows

Agent operability

Editorial agent-readiness estimate: 5/5. This reflects documented interfaces and proposed workflows, not a successful installation or a support promise. Assessment date not recorded; verify upstream documentation before use.

  • MCP — Built-in MCP server lets AI assistants build flows, manage tables and test automations using OAuth
  • REST — API/integration surface
  • WEBHOOKS — Webhook triggers/actions

Evidence consulted

  • Official self-host docs state Docker Compose v2 and at least 2 vCPU / 4 GB RAM. [stated; https://www.activepieces.com/docs/install/options/docker-compose]
  • Official MCP docs describe a built-in OAuth-authenticated MCP server for flow/table automation. [stated; https://www.activepieces.com/docs/mcp/overview]
  • Official licence docs separate MIT core from commercially licensed enterprise/cloud features. [stated; https://activepieces.mintlify.dev/docs/about/license]

Implementation notes

Introduce only when a durable automation engine is simpler than direct workspace-agent automation; confirm Community Edition coverage and current resource guidance first.

Licence / edition: Community Edition core is MIT; enterprise/cloud edition features use a commercial licence. Confirm that required pieces/features are in the Community Edition before choosing it.

Resources: heavy class — Current official Docker Compose guidance requires at least 2 vCPU and 4 GB RAM and uses PostgreSQL and Redis. (stated)

External prerequisites: credentials/accounts for connected third-party systems

Security: Catalogue qualification is not a security certification; inspect current advisories, supported versions and deployment guidance before setup.