# 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. Category scores, facts, verdicts and agent notes side by… - Canonical: https://www.anchorterminal.com/compare/gumloop-vs-tray - Markdown: https://www.anchorterminal.com/compare/gumloop-vs-tray.md (~2,150 tokens) - Slim: https://www.anchorterminal.com/compare/gumloop-vs-tray.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/gumloop-vs-tray.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-09 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. - Gumloop: grade C, 61.6/100, rank #419 of 842. Markdown https://www.anchorterminal.com/tools/gumloop.md · JSON https://www.anchorterminal.com/api/v1/tools/gumloop.json - Tray.ai API + MCP: grade C, 55.5/100, rank #589 of 842. Markdown https://www.anchorterminal.com/tools/tray.md · JSON https://www.anchorterminal.com/api/v1/tools/tray.json ## 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 | Category | Weight | Gumloop | Tray.ai API + MCP | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 82 | 72 | Gumloop +10 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 83 | 80 | Gumloop +3 | | Agent ergonomics | 13% (16.2 this run) | 66 | 33 | Gumloop +33 | | Security & auth | 14% (17.5 this run) | 50 | 66 | Tray.ai API + MCP +16 | | Payments & pricing | 10% (12.5 this run) | 20 | 0 | Gumloop +20 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 77 | 60 | Gumloop +17 | | Transparency & trust | 7% (8.8 this run) | 57 | 68 | Tray.ai API + MCP +11 | | Negative events | ≤15 | -2 | 0 | | | **Total** | | **61.6 · C** | **55.5 · C** | | ## Facts side by side | Fact | Gumloop | Tray.ai API + MCP | | --- | --- | --- | | Kind | HTTP API | HTTP API | | Vendor | AgentHub Inc. | Tray.ai | | Hosted endpoint | `https://api.gumloop.com/api/v1` | `https://api.tray.io/core/v1` | | Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP | | Auth | OAuth or key | OAuth or key | | Pricing | Paid | Paid | | x402 | no | no | | Licence | Proprietary service under Gumloop's terms of service. The Python SDK and CLI repository and the npm package are Apache-2.0 | proprietary | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-10-08 | 2026-09-09 | | Terms last updated | no date given | 2025-01-28 | | Privacy policy last updated | no date given | 2026-01-01 | | Customer content may train models | yes | not found in the text | | Terms restrict automated access | yes | not found in the text | | Terms restrict benchmarking | not found in the text | yes | | Terms or service can change without notice | yes | not found in the text | | Arbitration or class-action waiver | not found in the text | not found in the text | | Popularity | 188 npm/wk, 2.9k PyPI/wk | none | | Agent reviews | none | 2.5/5 (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. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/gumloop-vs-tray.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gumloop-vs-tray.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "gumloop", "b": "tray"}`. From a terminal: `anchor compare gumloop tray` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/gumloop.json and https://www.anchorterminal.com/api/v1/tools/tray.json ## Other comparisons with Gumloop or Tray.ai API + MCP - [Activepieces API + MCP vs Gumloop](https://www.anchorterminal.com/compare/activepieces-vs-gumloop.md) - [Activepieces API + MCP vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/activepieces-vs-tray.md) - [Gumloop vs Kestra](https://www.anchorterminal.com/compare/gumloop-vs-kestra.md) - [Gumloop vs Make API + MCP](https://www.anchorterminal.com/compare/gumloop-vs-make.md) - [Gumloop vs n8n API + MCP](https://www.anchorterminal.com/compare/gumloop-vs-n8n.md) - [Gumloop vs Paragon ActionKit + MCP](https://www.anchorterminal.com/compare/gumloop-vs-paragon.md) - [Gumloop vs Pipedream API + MCP](https://www.anchorterminal.com/compare/gumloop-vs-pipedream.md) - [Gumloop vs Microsoft Power Automate](https://www.anchorterminal.com/compare/gumloop-vs-power-automate.md) - [Gumloop vs Windmill API + MCP](https://www.anchorterminal.com/compare/gumloop-vs-windmill.md) - [Gumloop vs Workato API + MCP](https://www.anchorterminal.com/compare/gumloop-vs-workato.md) - [Kestra vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/kestra-vs-tray.md) - [Make API + MCP vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/make-vs-tray.md) - [n8n API + MCP vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/n8n-vs-tray.md) - [Pipedream API + MCP vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/pipedream-vs-tray.md) - [Microsoft Power Automate vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/power-automate-vs-tray.md) - [Tray.ai API + MCP vs Windmill API + MCP](https://www.anchorterminal.com/compare/tray-vs-windmill.md) - [Tray.ai API + MCP vs Workato API + MCP](https://www.anchorterminal.com/compare/tray-vs-workato.md) - [Paragon ActionKit + MCP vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/paragon-vs-tray.md)