How to Use the Foxentry MCP in Google ADK

Q: Can I restrict which Foxentry tools are exposed to Google ADK?

Yes, you can use the toolnames filter when initializing your toolset. This lets you limit your Gemini agent to specific tools like validateemail while hiding the business lookup features.

Q: Does Foxentry support long-context reasoning in Google ADK?

Yes, the structured JSON outputs from tools like getbusinessdetails fit perfectly into Gemini's large context window. This allows your agent to analyze complex corporate structures without losing track of the conversation.

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Connect Foxentry MCP to Google ADK

Create your Vinkius account to connect Foxentry 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 Foxentry with Google ADK

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Validate contact details directly inside Google ADK

The `validate_phone` tool checks if a phone number is active and formatted correctly before your agent writes it to BigQuery. This ensures your downstream marketing campaigns do not waste budget on dead lines. Integrating this MCP Server with your Gemini models lets the agent correct invalid entries in real-time. If a number is broken, the agent calls `format_phone` to fix the country code automatically.

Clean up enterprise business listings

The `lookup_business` tool queries corporate registries to find official company details based on partial names. Running this on our managed MCP Server gives your Gemini agent the power to enrich lead profiles. Once the company is found, the agent runs `get_business_details` to pull tax IDs and addresses. This eliminates manual data entry for your sales operations team entirely.

Autocomplete user addresses in Google ADK

The `suggest_address` tool generates valid postal address options as your enterprise agent interacts with customers. It prevents typos from polluting your logistics databases from the very first step. Your agent can immediately run `geocode_address` to pin the exact delivery location on a map. This MCP tool keeps your shipping calculations accurate without relying on clunky third-party geocoders.

Setup guide

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

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Common questions about Foxentry MCP in Google ADK

Yes, you can use the tool_names filter when initializing your toolset. This lets you limit your Gemini agent to specific tools like `validate_email` while hiding the business lookup features.

You initialize the server using the McpToolset class with your HTTP endpoint. Pass this toolset directly to your LlmAgent to make all validation tools instantly accessible.

Yes, the structured JSON outputs from tools like `get_business_details` fit perfectly into Gemini's large context window. This allows your agent to analyze complex corporate structures without losing track of the conversation.

The connection runs over a secure, managed HTTP transport. If a call to `check_foxentry_status` fails, the framework raises an exception so your agent can fall back to basic validation rules.

All address and email payloads are processed in memory within secure sandbox environments. The validation data is never cached or written to disk, ensuring your customer records remain confidential.

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