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Tray

Integrate, automate, and deploy AI agents

Workflow
For AI agents
MCPAPINative readiness
About

What is Tray

Tray.io is an integration and automation platform that lets teams build workflows across CRM, ERP, messaging, and data tools using a drag-and-drop canvas, pre-built service connectors, and a REST API. It's built for GTM engineers and RevOps teams at mid-market and enterprise companies who need to automate processes across departments without writing full-stack code. The standout capability is native AI agent deployment — you can build, configure, and scale agents directly within the platform rather than bolting them on afterward. An Insights hub tracks workflow health in real time, and HIPAA-compliant integrations make it usable in regulated industries like digital health. The honest limitation is cost: pricing is usage-based and entirely custom, meaning there's no self-serve entry point — smaller teams or early-stage companies will likely find the procurement process and budget tier a barrier before they've validated the use case.

Workflow
Capabilities

Key features

Workflow automation

wire tools together and run multi-step jobs

AI capabilities

autonomous multi-step actions

Also ships

official SDK

Our verdict

Vanderbuild take

For GTM engineers and RevOps teams that need to wire together CRM, ERP, and data pipelines while also running AI agents on top of those flows, Tray.io is one of the few workflow automation platforms where agentic capability is built in rather than patched on. The MCP server support is the real signal here — it makes Tray a legitimate orchestration layer for AI agents, not just a point-to-point connector, which matters if you're building anything that needs to reason across systems. That said, expect procurement involvement: pricing is fully custom and usage-based with no public rates, putting this squarely in budget tier 4 territory where a sales cycle is unavoidable. The platform's depth also means the learning curve is real — teams should budget several weeks to get workflows production-ready, and the add-on model for features like SSO, log streaming, and HIPAA means your initial quote may look different from your actual invoice.

Mateusz Sekta
Founder, vanderbuild
Learn more

Our Resources

The wedge

Agentic stack profile

MCP server
Yes

Live MCP server — agents can call this tool directly.

The Agent Gateway allows users to expose Tray workflows and connector operations as tools for AI agents, and the platform governs the Model Context Protocol (MCP).

Open MCP →
API
REST

Programmatic access available.

REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.

API docs →
Agentic readiness
Native

Built for agents from the ground up.

MCP server + agent-friendly API + at least one autonomous workflow out of the box. The bar for 'Native' is high — only a handful of tools currently qualify.

Stack role
Orchestrator

Where this tool slots into an agentic pipeline.

Plays the role of Orchestrator in an agentic pipeline. Use it to tie multiple tools and AI calls together in one workflow.

Compare

Tray alternatives

Tools that solve a similar problem — compared at a glance.

Tray(this tool)
Pricing
Custom
Budget
$$$$
Best for
GTM Engineer, RevOps
Readiness
Native
MCP
Yes
API
REST
Airtable
Pricing
Freemium
Budget
$
Best for
Founder, GTM Engineer
Readiness
Native
MCP
Yes
API
REST
Make
Pricing
Freemium
Budget
$
Best for
GTM Engineer, Founder
Readiness
Native
MCP
Yes
API
REST
Answers

Frequently asked questions

Does Tray have an MCP server?

Yes — Tray exposes a Model Context Protocol server. The Agent Gateway allows users to expose Tray workflows and connector operations as tools for AI agents, and the platform governs the Model Context Protocol (MCP). See the MCP docs at https://tray.ai/documentation/platform/artificial-intelligence/agent-gateway/overview.

Does Tray have a public API?

Yes — Tray ships a REST API. Docs: https://tray.ai/documentation/developer/platform-apis/overview.

How much does Tray cost?

Tray: pricing is custom, expect enterprise tier ($$$$) spend. Full pricing page: https://tray.ai/pricing.

Who is Tray best for?

Tray is built for GTM Engineer, RevOps. Fits Mid-market (50-500), Enterprise-sized teams.

How well does Tray fit an agentic sales stack?

Tier: Native. Has both an MCP server and an agent-friendly API — drops into an agentic stack with minimal glue code.