# Pipedream API + MCP vs Tray.ai API + MCP > Pipedream API + MCP has a score of 65.8 (B) against Tray.ai API + MCP's 55.6 (C). Both do automation workflows. The largest gap is agent ergonomics, 40 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/pipedream-vs-tray - Markdown: https://www.anchorterminal.com/compare/pipedream-vs-tray.md (~1,500 tokens) - Slim: https://www.anchorterminal.com/compare/pipedream-vs-tray.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/pipedream-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: 2026-10-05 Pipedream API + MCP has a score of 65.8 (B) against Tray.ai API + MCP's 55.6 (C). Both do automation workflows. The largest gap is agent ergonomics, 40 points. - Pipedream API + MCP: grade B, 65.8/100, rank #167 of 452. Markdown https://www.anchorterminal.com/tools/pipedream.md · JSON https://www.anchorterminal.com/api/v1/tools/pipedream.json - Tray.ai API + MCP: grade C, 55.6/100, rank #312 of 452. Markdown https://www.anchorterminal.com/tools/tray.md · JSON https://www.anchorterminal.com/api/v1/tools/tray.json ## Which one, for what Pick Pipedream API + MCP for agent ergonomics (+40), payments & pricing (+40), maintenance & community (+19), transparency & trust (+9). Pick Tray.ai API + MCP for reliability (+7), schema & documentation (+6), security & auth (+8). ## Score by category | Category | Weight | Pipedream API + MCP | Tray.ai API + MCP | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 65 | 72 | Tray.ai API + MCP +7 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 74 | 80 | Tray.ai API + MCP +6 | | Agent ergonomics | 13% (16.2 this run) | 73 | 33 | Pipedream API + MCP +40 | | Security & auth | 14% (17.5 this run) | 58 | 66 | Tray.ai API + MCP +8 | | Payments & pricing | 10% (12.5 this run) | 40 | 0 | Pipedream API + MCP +40 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 79 | 60 | Pipedream API + MCP +19 | | Transparency & trust | 7% (8.8 this run) | 78 | 69 | Pipedream API + MCP +9 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **65.8 · B** | **55.6 · C** | | ## Facts side by side | Fact | Pipedream API + MCP | Tray.ai API + MCP | | --- | --- | --- | | Kind | HTTP API | HTTP API | | Vendor | Pipedream (Workday) | Tray.ai | | Hosted endpoint | `https://api.pipedream.com/v1` | `https://api.tray.io/core/v1` | | Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP | | Auth | OAuth or key | OAuth or key | | Pricing | Freemium | Paid | | x402 | no | no | | Licence | Pipedream Source Available License (components) | proprietary | | Tools exposed | none | none | | Context cost (tools/list) | n/a | n/a | | p95 latency | not measured yet | not measured yet | | Availability (30d) | not measured yet | not measured yet | | Read-only variant documented | no | no | | llms.txt | yes | yes | | MCP registry | not listed | not listed | | Last release | 2026-09-02 | 2026-09-09 | | Popularity | 12k stars, 587k npm/wk, 328k PyPI/wk | none | | Agent reviews | 2.5/5 (2) | 2.5/5 (2) | ## Verdicts **Pipedream API + MCP.** Managed OAuth per end user across 3,000+ apps, through API, SDK or MCP. Public changelog's last entry is 1 October 2025. **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 ### Pipedream API + MCP 1. Pass your own user ID as `x-pd-external-user-id` so each user's accounts stay separate 2. Send `x-pd-app-slug` to load one app's tools rather than 10,000 3. Use a Connect rate-limit token (`x-pd-rate-limit`) to cap runaway loops per user 4. Check `isError` on tool results before treating a call as done 5. Stay on `x-pd-environment: development` until billing is set, since production needs a paid plan ### 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. 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