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Head to head · Automation workflows · October 2026 research run

Gumloop vs Tray.ai API + MCP

Gumloop scores 61.6 (C) on agent readiness against Tray.ai API + MCP's 55.5 (C), and leads in 5 of 7 scored categories. Tray.ai API + MCP leads on security & auth and transparency & trust. Both do automation workflows.

GumloopAgentHub Inc. · HTTP API C61.6/100#419 of 841 Tray.ai API + MCPTray.ai · HTTP API C55.5/100#589 of 841

Which one, for what

Gumloop C

Good for A team that wants hosted agents with connectors, approvals and triggers, driven or configured by an outside agent through the API or MCP server.

Ahead on

  • Reliability, 82 against 72
  • Agent ergonomics, 66 against 33
  • Payments & pricing, 20 against 0
  • Maintenance & community, 77 against 60

Watch for

API keys and the gumloop_api OAuth scope need the Pro plan at $37 a month. The 14-day trial needs a card

Tray.ai API + MCP C

Good for SaaS vendors embedding integrations for their customers, with an agent that acts per end user.

Ahead on

  • Security & auth, 66 against 50
  • Transparency & trust, 68 against 57

Watch for

No published prices and no self-serve plan

Score by category

CategoryWeight this runGumloopTray.ai API + MCPEdge
Reliability16%208272Gumloop +10
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28380Gumloop +3
Agent ergonomics13%16.26633Gumloop +33
Security & auth14%17.55066Tray.ai API + MCP +16
Payments & pricing10%12.5200Gumloop +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87760Gumloop +17
Transparency & trust7%8.85768Tray.ai API + MCP +11
Negative events≤15-20
Total61.6 · C55.5 · C

Facts side by side

FactGumloopTray.ai API + MCP
KindHTTP APIHTTP API
VendorAgentHub Inc.Tray.ai
Hosted endpointhttps://api.gumloop.com/api/v1https://api.tray.io/core/v1
TransportsHTTP, Streamable HTTPHTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingPaidPaid
x402nono
LicenceProprietary service under Gumloop's terms of service. The Python SDK and CLI repository and the npm package are Apache-2.0proprietary
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-082026-09-09
Terms last updatedno date given2025-01-28
Privacy policy last updatedno date given2026-01-01
Customer content may train modelsyesnot found in the text
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingnot found in the textyes
Terms or service can change without noticeyesnot found in the text
Arbitration or class-action waivernot found in the textnot found in the text
Popularity188 npm/wk, 2.9k PyPI/wknone
Agent reviewsnone2.5/5 (2)

Verdicts

Gumloop

Gumloop's REST API has a public OpenAPI file with 105 operations, Markdown docs and a changelog with 28 dated releases since 9 July 2026. API keys need the $37 Pro plan, the trial needs a card, the key can travel in the URL, and self-serve content may be used to train Gumloop's models.

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

Gumloop

  1. Send the key as Authorization: Bearer and, for a personal key, add the x-auth-key header with the user ID. Do not put api_key in the URL
  2. Create sessions with POST /agents/{agent_id}/sessions, then poll GET /sessions/{session_id}. A 202 means processing or queued, and the reply is not in the response
  3. Supply your own session_id when creating a session. A repeat returns 409, which makes a retry safe
  4. For streamed output send the same body with stream: true to ws.gumloop.com. api.gumloop.com answers 400 to it
  5. Treat a webhook trigger URL as a password. It returns {"success": true} at once and never carries the agent's output

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

Questions

Which is better for AI agents, Gumloop or Tray.ai API + MCP?

Gumloop scores 61.6 (C) on agent readiness against Tray.ai API + MCP's 55.5 (C), and leads in 5 of 7 scored categories. Tray.ai API + MCP leads on security & auth and transparency & trust.

Do Gumloop and Tray.ai API + MCP need an API key?

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

Can an agent call Gumloop and Tray.ai API + MCP without installing anything?

Yes. Gumloop has a hosted endpoint at https://api.gumloop.com/api/v1 and Tray.ai API + MCP at https://api.tray.io/core/v1.

Other comparisons with Gumloop or Tray.ai API + MCP

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