Does Activepieces support AI agents?

Yes. It offers AI agents and supports the Model Context Protocol, so flows can call AI tools in a standardized way.

How does Activepieces compare to n8n?

Both are open-source and self-hostable; Activepieces emphasizes MCP and agents, while n8n has a larger connector library and longer track record.

How many integrations does Activepieces have?

Several hundred community pieces, fewer than established tools, so some apps need a custom piece or a generic HTTP step.

Can Activepieces run in the cloud?

Yes. Besides self-hosting, it offers managed cloud plans, so teams can avoid maintaining infrastructure if they prefer.

Platform · ai agent automation

Activepieces

Open-source automation with AI agents and MCP-based tool use

est. 2022United States280 appsAI ecosystem: high2 AI tools fit

Visit Activepieces→www.activepieces.com

The verdict

Activepieces is an open-source automation tool you can self-host or use in the cloud, building flows from community 'pieces'. It supports AI agents and MCP tool use.

What it is

Activepieces builds automations from open-source connectors called pieces, on a visual flow editor similar to other automation tools. Because it is source-available and self-hostable, teams can run it on their own infrastructure and contribute new pieces. It leans into AI by supporting agents and the Model Context Protocol, so flows can call AI tools in a standard way. The tradeoff is maturity: the connector library is younger and thinner than established tools, so some integrations need community pieces or manual HTTP calls.

Strengths

Open-source and self-hostable, so data and cost stay under your control
Native AI agents and MCP support let flows call AI tools in a standard way
Community pieces are extensible, so missing connectors can be added or contributed

Trade-offs

The connector library is younger and thinner than Zapier's or Make's
Self-hosting means you maintain updates, uptime and backups yourself
Some integrations rely on community pieces of varying quality or manual HTTP setup

Best for

Self-hosted AI automation where open-source control and MCP tool use matter

Not for

Non-technical users needing the widest ready-made connector library with zero setup

AI tools that fit Activepieces

Scored on how well each tool actually works with Activepieces — integration depth, workflow fit, and real adoption. Higher is better.

ChatGPT

Workflow & App Automation

7.5

Claude

Workflow & App Automation

6.8

See the full AI tool guide for Activepieces→

The AI ecosystem

Open-source community pieces plus AI agents and MCP support; extensible via custom pieces and HTTP.

Public APIActivepieces Pieces

Pricing

Open-source (free, self-hosted) plus a cloud offering with paid tiers scaling by tasks/features. Community/open model.

Community (self-host)

Free

open-source
self-hosted
unlimited on your hardware

Cloud Free

Free

managed
task quota

Cloud Pro

$25/mo

more tasks
team features

Enterprise

Custom

SSO
scale
support

What people build with it

open-source automationai agentsmcp tool useself-hosted workflowscustom connectors

Frequently asked

Is Activepieces open source?: Yes. It is source-available and self-hostable, so teams can run it on their own infrastructure and add community-built connectors called pieces.
Does Activepieces support AI agents?: Yes. It offers AI agents and supports the Model Context Protocol, so flows can call AI tools in a standardized way.
How does Activepieces compare to n8n?: Both are open-source and self-hostable; Activepieces emphasizes MCP and agents, while n8n has a larger connector library and longer track record.
How many integrations does Activepieces have?: Several hundred community pieces, fewer than established tools, so some apps need a custom piece or a generic HTTP step.
Can Activepieces run in the cloud?: Yes. Besides self-hosting, it offers managed cloud plans, so teams can avoid maintaining infrastructure if they prefer.