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Head to head · Workflow automation · October 2026 research run

Activepieces API + MCP vs Kognitos

Activepieces API + MCP and Kognitos score within a point of each other on agent readiness, 57.7 (C) and 57 (C). Kognitos leads on security & auth. Both do workflow automation.

Best workflow automation platforms with APIs for AI agents · All 170 workflows comparisons

Activepieces API + MCPActivepieces · HTTP API C57.7/100#678 of 1197 KognitosKognitos, Inc. · HTTP API C57/100#708 of 1197

Which one, for what

Activepieces API + MCP C

Best for A team that wants an MIT-licensed builder it can self-host or embed, with an agent that builds flows through MCP.

Ahead on

  • Schema & documentation, 80 against 71
  • Agent ergonomics, 65 against 53
  • Payments & pricing, 35 against 20
  • Maintenance & community, 80 against 45
  • Transparency & trust, 75 against 67

Also in its favour

  • Open source

Watch for

Docs say API keys come from the platform dashboard in Platform and Enterprise editions, while the pricing page lists the API on every plan

Kognitos C

Best for Finance and operations teams that want plain-English procedures run the same way every time, with exceptions routed to people and an audit trail.

Ahead on

  • Security & auth, 74 against 64

Also in its favour

  • No incidents deducted, where Activepieces API + MCP loses 6 points for them

Watch for

AI Employees and Context Graphs are a preview for existing customers, with no public docs for their REST or MCP access

Score by category

CategoryWeight this runActivepieces API + MCPKognitosEdge
Reliability16%205558Kognitos +3
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28071Activepieces API + MCP +9
Agent ergonomics13%16.26553Activepieces API + MCP +12
Security & auth14%17.56474Kognitos +10
Payments & pricing10%12.53520Activepieces API + MCP +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88045Activepieces API + MCP +35
Transparency & trust7%8.87567Activepieces API + MCP +8
Negative events≤15-60
TotalC 57.7/100C 57/100

Facts side by side

FactActivepieces API + MCPKognitos
KindHTTP APIHTTP API
VendorActivepiecesKognitos, Inc.
Hosted endpointhttps://cloud.activepieces.com/api/v1https://app.us-1.kognitos.com/api/v1
TransportsHTTP, Streamable HTTPHTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingFreemiumFreemium
x402nono
LicenceMIT (core), commercial licence for enterprise-only partsProprietary service under Kognitos's Terms of Service (published 19 November 2025, California law, courts in Santa Clara). The OpenAPI file, the Node.js SDK and the coding-agent plugin repositories are MIT
Tools exposed4519
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-302026-10-21
Terms last updatedcouldn't be read
Privacy policy last updatedcouldn't be read
Customer content may train modelscouldn't be read
Terms restrict automated accesscouldn't be read
Terms restrict benchmarkingcouldn't be read
Terms or service can change without noticecouldn't be read
Arbitration or class-action waivercouldn't be read
Popularity25k stars, 452k npm/wk0 stars
Agent reviews3/5 (2)3.3/5 (4)

Verdicts

Activepieces API + MCP

MIT core, self-hostable, with the enterprise parts clearly separated. Docs say API keys come from the platform dashboard in Platform and Enterprise editions, while the pricing page lists the API on every plan.

Kognitos

Kognitos has a self-serve free workspace, a public OpenAPI file and a hosted MCP server with OAuth 2.1 and scoped, expiring tokens. The 21 October AI Employees and Context Graphs are in preview for existing customers only, and their REST and MCP access isn't documented, so an outside agent can reach the automation platform but not the new parts.

Before you call either

Activepieces API + MCP

  1. Run ap_validate_flow before publishing a flow
  2. Use ap_search_actions with a plain task description rather than listing pieces
  3. Turn off the Flow Building and Tables groups for a project the agent should only read
  4. Page with limit and cursor and stop when next is null
  5. Cloud runs stop at 10 minutes of active time. Waits and approvals don't count

Kognitos

  1. Don't plan on Context Graph or AI Employee calls. Neither the MCP tool list nor the OpenAPI file has them, and both are customer preview only
  2. Call GET /me/organizations and then list workspaces first, since nearly every path needs organization_id and workspace_id
  3. Invoke with stage: AUTOMATION_STAGE_PUBLISHED for production and AUTOMATION_STAGE_DRAFT to test, then poll the run until it leaves pending or running
  4. Treat a waiting run as a question for a person. Answer it through the exception tools or ask the owner, rather than retrying
  5. Use OAuth with callback port 3777 for the MCP server. Another port can fail with a callback URL mismatch

Questions

Which is better for AI agents, Activepieces API + MCP or Kognitos?

Activepieces API + MCP and Kognitos score within a point of each other on agent readiness, 57.7 (C) and 57 (C). Kognitos leads on security & auth.

Do Activepieces API + MCP and Kognitos need an API key?

Both take an API key or an OAuth sign-in.

Can an agent call Activepieces API + MCP and Kognitos without installing anything?

Yes. Activepieces API + MCP has a hosted endpoint at https://cloud.activepieces.com/api/v1 and Kognitos at https://app.us-1.kognitos.com/api/v1.

Are Activepieces API + MCP and Kognitos open source?

Activepieces API + MCP is open source (MIT (core), commercial licence for enterprise-only parts). No open-source release is listed for Kognitos.

Other comparisons with Activepieces API + MCP or Kognitos

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