Where do I find my primary Tray.io Access Token?

Log in precisely through your Tray.io admin interface. Focus toward the user settings and click heavily on 'Profile' located usually top-right corner or bottom-left depending on your tier. Inside, shift directly to Personal Access Tokens to view the encoded array. Keep generated values incredibly safe as they orchestrate mass systems.

How important is defining the TRAY_REGION property?

The API fundamentally varies endpoints based on your region (e.g., `us1`, `eu1`, `apac1`). If unassigned or blank, it legally defaults to `us1`. If your instance is physically nested anywhere else in global scope, you must insert your region, or your API logs will constantly fail resolving token access domains.

Should I use a User Token or a Master Token for the Tray MCP?

You must use the Master Token. The Master Token acts as an administrative key allowing you to list authentications and orchestrate workflows across your organization's workspace, whereas a User Token is restricted.

Tray.io MCP Server for Google ADK 6 tools — connect in under 2 minutes

Name: Tray.io
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 6 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Tray.io as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="trayio_agent",
    instruction=(
        "You help users interact with Tray.io "
        "using 6 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Tray.io MCP Server

Connect your AI agent exclusively to your Tray.io (or Tray.ai) integration workflows. Bypass cumbersome cloud panels and directly manage automations, integrations, and solutions within a conversational interface. Allow your operations team or architects to audit workflows and supervise massive data transfer nodes organically, checking for health or broken loops in plain text.

Google ADK natively supports Tray.io as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Inventory Verification — Audit all current integration solutions, mapping how data moves inside the entire architectural setup instantly
Workflow Discovery — Instantly list and read metadata components or current triggers attributed to single active workflows
Live Monitoring — Investigate the execution history logs on specific workflows to strictly certify which nodes succeeded or crashed during testing
Component Assessment — Browse global lists of ready-to-use Connectors (like Salesforce, Stripe, Zendesk) directly out of your machine before mapping an integration strategy
Session Integrity — Ping the core system to evaluate user identity tokens, boundaries, and regional connections to guarantee uptime

The Tray.io MCP Server exposes 6 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Tray.io to Google ADK via MCP

Follow these steps to integrate the Tray.io MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 6 tools from Tray.io via MCP

Why Use Google ADK with the Tray.io MCP Server

Google ADK provides unique advantages when paired with Tray.io through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Tray.io

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Tray.io tools with BigQuery, Vertex AI, and Cloud Functions

Tray.io + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Tray.io MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Tray.io and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Tray.io tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Tray.io regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Tray.io

Tray.io MCP Tools for Google ADK (6)

These 6 tools become available when you connect Tray.io to Google ADK via MCP:

get_authenticated_user

Retrieves details for the currently authenticated user

get_workflow_details

Retrieves details for a specific Tray.io workflow

list_available_connectors

g., Salesforce, Slack) can be integrated. Lists all available service connectors in Tray.io

list_integration_solutions

Lists all solutions (integration templates) in the account

list_workflow_executions

Lists recent execution history for a specific workflow

list_workflows

Lists all workflows in the Tray.io account

Example Prompts for Tray.io in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Tray.io immediately.

"List all active workflows in my account right now."

"Can you check the latest execution history for workflow wf-a1b2?"

Troubleshooting Tray.io MCP Server with Google ADK

Common issues when connecting Tray.io to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Tray.io + Google ADK FAQ

Common questions about integrating Tray.io MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.