How to Use the YoneTeam MCP in Google ADK

Q: How does Google ADK connect to YoneTeam's MCP Server?

You use the McpToolset wrapper. Your agent interacts with the tools directly, allowing Gemini models to treat them as native functions for complex reasoning.

Q: Can I filter the tools exposed to my agent when using Google ADK?

Yes. The optional toolnames filter lets you restrict which YoneTeam functions your agent sees, keeping the scope tight and focused.

Q: Is retrieving account details reliable with YoneTeam and Google ADK?

The getme tool pulls accurate, real-time account information. This helps ensure that any actions taken by your agent are tied to the correct user context.

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Connect YoneTeam MCP to Google ADK

Create your Vinkius account to connect YoneTeam to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup YoneTeam with Google ADK

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Perplexity

List and Track Purchases

Start by calling `list_purchase_orders` to see all open orders. Then, use `get_order_details` when you need deep information on a specific number. Your agent processes this data using Gemini's long-context reasoning, making sense of complex transaction histories.

Manage Materials and Offers

The `list_materials_catalog` tool gives you every item available in the system. You can combine that with `list_offers` to see what suppliers are currently selling. This lets your agent build reports on current stock levels versus market pricing.

Track Delivery Schedules

Use `list_deliveries` to pull up all scheduled shipments. If you need more details, you can check the specific purchase order via `get_order_details`. This capability lets your agent proactively alert teams about upcoming logistics changes.

Setup guide

Set up YoneTeam MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with YoneTeam tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="YoneTeam_agent",
    model="gemini-2.0-flash",
    instruction="You have access to YoneTeam tools via MCP.",
    tools=mcp_tools,
)

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Common questions about YoneTeam MCP in Google ADK

You use the `McpToolset` wrapper. Your agent interacts with the tools directly, allowing Gemini models to treat them as native functions for complex reasoning.

You can handle everything from logging new purchasing demands (`create_demand`) to reviewing supplier details. The system covers the full scope of Turkish business needs.

Absolutely. Gemini models hold 1M+ tokens, so you can feed your agent huge context blocks—like years of `list_purchase_orders` records—for detailed analysis.

Yes. The optional `tool_names` filter lets you restrict which YoneTeam functions your agent sees, keeping the scope tight and focused.

The `get_me` tool pulls accurate, real-time account information. This helps ensure that any actions taken by your agent are tied to the correct user context.

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