Tray.ai
Orchestration platform for deploying governed AI agents, MCP apps, and integrations using no-code builders and managed credentials.
What is Tray.ai?
Try Tray.aiTray.ai is an orchestration platform for deploying, running, and governing integrations, automations, AI agents, and MCP-enabled apps. It connects 700+ services using a unified connector approach, with governance features like scoped credentials, audit trails, and artifact ownership built in. Tray.ai also supports “vibe-coded” app development with no-code, low-code, or headless options for moving AI-built apps into production with visibility and security.
What does Tray do for data, integrations, and AI?
Tray helps you deploy and manage integrations, automations, AI agents, and MCP-enabled tools across your stack. It’s designed to keep everything governed in one place, so connector calls and agent actions run with consistent credentials, ownership, and an audit trail.
How is Tray different from legacy iPaaS?
Tray focuses on governed execution across connectors, automations, and AI workflows, using a single credential store and access model behind every connector. It also provides an owner on every artifact and keeps one audit trail so you can see what ran, who owns it, and how it behaved in production.
How does Tray support MCP for agents and tool calls?
Tray includes an Agent Gateway for MCP that manages MCP servers and presents connectors as governed tools. It also adds audit and observability so MCP tool calls are governed before they reach production.
Is Tray a no-code or low-code tool for building AI agents and automations?
Tray supports visual low-code development with Tray Build and also offers a headless option for coding assistants. For AI agents, Merlin Agent Builder is positioned as a no-code builder with guardrails and composable building blocks.
How does Tray handle security, access, and audit trails?
Tray provides iPaaS governance features such as RBAC, scoped credentials, instrumentation, analytics, and security controls baked into agent actions, tool calls, and workflow runs. It also maintains audit trails and shows artifact ownership and production activity through a live visibility view.
Can I monitor apps in production and manage cost across teams?
Tray is built to provide one live pane over apps in production, including owner, connections, and activity. It also supports cost management by attributing LLM, token, and compute spend per app and team, with budgets and caps.
What does Tray.ai do for data, integrations, and AI?
Tray.ai helps you deploy and manage integrations, automations, AI agents, and MCP-enabled tools across your stack. It’s designed to keep everything governed in one place, so connector calls and agent actions run with consistent credentials, ownership, and an audit trail.
How is Tray.ai different from legacy iPaaS?
Tray.ai focuses on governed execution across connectors, automations, and AI workflows, using a single credential store and access model behind every connector. It also provides an owner on every artifact and keeps one audit trail so you can see what ran, who owns it, and how it behaved in production.
How does Tray.ai support MCP for agents and tool calls?
Tray.ai includes an Agent Gateway for MCP that manages MCP servers and presents connectors as governed tools. It also adds audit and observability so MCP tool calls are governed before they reach production.
Is Tray.ai a no-code or low-code tool for building AI agents and automations?
Tray.ai supports visual low-code development with Tray Build and also offers a headless option for coding assistants. For AI agents, Merlin Agent Builder is positioned as a no-code builder with guardrails and composable building blocks.
How does Tray.ai handle security, access, and audit trails?
Tray.ai provides iPaaS governance features such as RBAC, scoped credentials, instrumentation, analytics, and security controls baked into agent actions, tool calls, and workflow runs. It also maintains audit trails and shows artifact ownership and production activity through a live visibility view.
Can I monitor apps in production and manage cost across teams?
Tray.ai is built to provide one live pane over apps in production, including owner, connections, and activity. It also supports cost management by attributing LLM, token, and compute spend per app and team, with budgets and caps.