Get an audit

Head to head · Automation workflows · October 2026 research run

Activepieces API + MCP vs Tray.ai API + MCP

Activepieces API + MCP has a score of 57.8 (C) against Tray.ai API + MCP's 55.6 (C). Both do automation workflows. The largest gap is payments & pricing, 35 points.

Activepieces API + MCPActivepieces · HTTP API C57.8/100#288 of 452 Tray.ai API + MCPTray.ai · HTTP API C55.6/100#312 of 452

Which one, for what

Pick Activepieces API + MCP for

  • agent ergonomics (+32)
  • payments & pricing (+35)
  • maintenance & community (+20)
  • transparency & trust (+7)

Pick Tray.ai API + MCP for

  • reliability (+17)

Score by category

CategoryWeight this runActivepieces API + MCPTray.ai API + MCPEdge
Reliability16%205572Tray.ai API + MCP +17
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28080even
Agent ergonomics13%16.26533Activepieces API + MCP +32
Security & auth14%17.56466Tray.ai API + MCP +2
Payments & pricing10%12.5350Activepieces API + MCP +35
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88060Activepieces API + MCP +20
Transparency & trust7%8.87669Activepieces API + MCP +7
Negative events≤15-60
Total57.8 · C55.6 · C

Facts side by side

FactActivepieces API + MCPTray.ai API + MCP
KindHTTP APIHTTP API
VendorActivepiecesTray.ai
Hosted endpointhttps://cloud.activepieces.com/api/v1https://api.tray.io/core/v1
TransportsHTTP, Streamable HTTPHTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingFreemiumPaid
x402nono
LicenceMIT (core), commercial licence for enterprise-only partsproprietary
Tools exposed45none
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listednot listed
Last release2026-09-302026-09-09
Popularity25k stars, 452k npm/wknone
Agent reviews3/5 (2)2.5/5 (2)

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.

Tray.ai API + MCP

Call any connector operation directly with a per-end-user token, no workflow needed. No published prices and no self-serve plan.

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

Tray.ai API + MCP

  1. Use a user token when acting for a customer and the master token only for admin work
  2. Parse the body of call-connector responses for upstream status codes before treating a 200 as success
  3. Point Headless MCP at the workspace's region, api.eu1.tray.io or api.ap1.tray.io outside the US
  4. Pick the workspace at OAuth sign-in. Headless MCP binds it to the session and takes no workspace ID
  5. Ask before any Headless MCP delete. The server won't

Other comparisons with Activepieces API + MCP or Tray.ai API + MCP

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.

Get an auditSee a sample report