How to Use the Anvyl MCP in Google ADK

Q: How do I configure the Anvyl MCP Server within Google ADK?

Initialize McpToolset with the Vinkius HTTP URL. Pass that toolset object directly into the tools list when creating your LlmAgent instance.

Q: How do I restrict write access for Anvyl tools in Google ADK?

Use the optional toolnames filter when setting up your toolset. This lets you expose read-only tools like getpart while hiding modification tools.

Feed supply chain data directly into Gemini long-context runs with Google ADK and Anvyl.

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Connect Anvyl MCP to Google ADK

Create your Vinkius account to connect Anvyl 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 Anvyl with Google ADK

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Enterprise supply chain analysis with Google ADK

Connect your Gemini models to your production supply chain database. By importing this MCP Server into your Google ADK pipeline, your agent can instantly look up order states using `get_purchase_order` and `list_purchase_orders`. This setup lets you run deep reasoning loops over thousands of parts. The agent pulls detailed records via `list_parts` to cross-reference with your active inventory spreadsheets.

Direct BigQuery and supplier cross-referencing

Run agents that compare supplier performance metrics stored in BigQuery against real-time operational data. The agent queries `get_supplier` and `list_suppliers` to match historical vendor ratings with active delivery timelines. Because Gemini handles massive context windows, your agent can digest years of shipping logs alongside live logistics feeds from `list_logistics` to flag high-risk shipments.

Automated shipping delay resolution

Let your Google Cloud agents handle shipping delays automatically using the MCP Server. When a delay is detected, the agent uses `delay_milestone` or `confirm_milestone` to update schedules without manual data entry. Control which actions the agent can take. By applying a `tool_names` filter to the MCP Server configuration, you ensure the agent only queries data instead of modifying milestones.

Setup guide

Set up Anvyl 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 Anvyl 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="Anvyl_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Anvyl tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Anvyl. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Anvyl MCP in Google ADK

Initialize `McpToolset` with the Vinkius HTTP URL. Pass that toolset object directly into the `tools` list when creating your `LlmAgent` instance.

Yes. Gemini's million-token context allows the agent to pull extensive logs using `list_purchase_orders` and analyze the entire dataset in a single prompt.

Use the optional `tool_names` filter when setting up your toolset. This lets you expose read-only tools like `get_part` while hiding modification tools.

It does. You can configure the toolset to communicate over HTTP using the streamable server parameters pointing to your Vinkius endpoint.

Vinkius executes the code in a sandboxed, ephemeral V8 isolate. Your supplier names and contact details are processed in transit and never stored on disk.

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