Two agent gateways.
Different depth into your systems.
Tray.ai's Agent Gateway for MCP lets IT pick connector operations and expose them as governed tools. Engini goes down into each system of record's live schema, custom records included, and adds approvals and an audit trail to every call.
The closest comparison on this site
Tray.ai is an AI-native enterprise iPaaS with 700+ connectors. Its Agent Gateway for MCP, launched October 28, 2025, lets admins choose individual connector operations, build composite workflow tools, run tools on service or end-user credentials, and log every execution.
Engini shares the gateway idea and puts its weight on depth: it reads each instance's live schema, scopes tools per agent, holds calls for approval by amount, system or action, and reaches behind the firewall with an outbound-only agent.
Where Tray.ai is strong
- Low-code iPaaS for integrations, automations and APIs
- Per-operation exposure of 700+ connectors as MCP tools
- Composite workflow tools that package multi-step logic
- Per-user credentials through OAuth2 connections
- Logs and versions in Insights Hub, streaming to Datadog or Splunk
Where Engini is built to win
- Toolsets that decide which tools each agent can see
- Approvals that hold risky calls for a person
- An audit trail of every call, its arguments and the person it acted for
- Live schema for SAP, NetSuite, Oracle, Workday and Salesforce, custom fields included
- On-Prem Agent for systems behind the firewall, outbound only
- MCP, SDK, CLI, REST and a no-code canvas on one core
Tray.ai vs Engini, side by side
Choose Engini, Tray.ai, or both
Choose Engini when
- Your agents work in ERP instances with heavy customization
- You want call-level approvals without building workflow tools
- You want the gateway available without an add-on or account-team enablement
- You want MCP, SDK, CLI, REST and no-code on one core
Choose Tray.ai when
- You already run Tray.ai for integrations
- Most agent tools are standard SaaS operations
- You want Merlin Agent Builder for no-code agents
Where the difference shows up
With Tray.ai: Expose a connector operation or build a workflow tool that covers it.
With Engini: The custom record is in the instance schema Engini reads, so it is available to the toolset right away.
With Tray.ai: Design approval logic inside a workflow tool.
With Engini: Set a rule: sales orders over $50,000 go to finance. The agent waits for the decision.
With Tray.ai: On-prem agent or private networking, an add-on below Enterprise.
With Engini: Install the On-Prem Agent. Outbound only, no inbound ports.
Using Tray.ai and Engini together
If Tray.ai already runs your SaaS integrations, Engini can sit beside it as the gateway for agent calls into ERP and on-prem systems, with one audit trail for those calls.
Last reviewed October 30, 2026. Details about Tray.ai come from its public website and documentation, listed below, and may change.
Sources
Try Engini
- Free to start, no credit card
- MCP endpoint: https://mcp.engini.io
- Docs: https://docs.engini.ai
- SOC 2 Type II, ISO 27001, GDPR
Tray.ai vs Engini: common questions
Tray.ai also has an Agent Gateway. What is the difference?
Both govern agent tool calls. Tray.ai's Agent Gateway for MCP exposes selected connector operations and composite workflow tools. Engini builds tools from each system's live schema, including custom objects, and adds approval rules per call and an outbound-only On-Prem Agent.
Is Engini a Tray.ai alternative?
Yes, for teams whose agents need deep, governed access to systems of record. Tray.ai remains a strong low-code iPaaS for SaaS integrations.
Does Tray.ai support per-user identity?
Yes, through OAuth2 remote connections. With the API token method, Tray's docs say tools run on service account credentials.
How do I try Engini?
Engini is free to start. Connect a system, create a toolset and point your MCP client at https://mcp.engini.io.
How do I connect my AI agent to Engini?
Point any MCP client to https://mcp.engini.io and pass the toolset you want the agent to use in the X-Engini-Toolset header. The same tools are available from the SDK, the CLI and the REST API, and the agent only sees the tools inside its toolset.