How to Use the Findymail MCP in Google ADK

Q: How do I add Findymail tools to my Google ADK agent?

You use the McpToolset class to point your agent at the Vinkius server URL. Once configured, you can pass this toolset into your LlmAgent to start querying.

Q: Can I filter which Findymail tools my Google ADK agent sees?

You can use the toolnames filter in your McpToolset configuration. This restricts the agent to only the specific tools you want it to use, like findemail.

Q: Does Findymail work with the long-context reasoning in Google ADK?

It does. You can feed massive search results from getleadsearchdata into your model's context window. This allows for complex analysis of large lead lists.

Connect Findymail to your Google ADK agents to automate lead generation and data enrichment at scale.

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Connect Findymail MCP to Google ADK

Create your Vinkius account to connect Findymail 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 Findymail with Google ADK

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Google ADK Prospecting with Findymail

Your agent triggers `search_leads` to find prospects matching your specific criteria. It maps these results directly into your existing Google Cloud data structures. By using `enrich_company` alongside your search, you get deeper context on every lead. This helps your agent qualify prospects before even reaching out.

Direct Email Validation in Google ADK

Your agent calls `verify_email` as a mandatory step in your prospect pipeline. It ensures every address is active and ready for your campaign. This verification loop happens asynchronously. Your agent waits for the response before proceeding, keeping your data clean and accurate.

Managing Contact Lists via Google ADK

You can organize your findings using `create_contact_list` and `list_contact_lists`. This allows your agent to segment leads automatically based on their company or role. It keeps your data organized within your project workspace. You don't need to manually sort files anymore.

Setup guide

Set up Findymail 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 Findymail 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="Findymail_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Findymail 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 Findymail. 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 Findymail MCP in Google ADK

You use the `McpToolset` class to point your agent at the Vinkius server URL. Once configured, you can pass this toolset into your `LlmAgent` to start querying.

You can use the tool_names filter in your `McpToolset` configuration. This restricts the agent to only the specific tools you want it to use, like `find_email`.

It does. You can feed massive search results from `get_lead_search_data` into your model's context window. This allows for complex analysis of large lead lists.

It uses standard HTTP or Stdio transports to communicate with the server. The connection is managed through the `StreamableHttpServerParameters` class.

All contact info, including names and email addresses, is processed in a V8 Isolate sandbox. We don't store your query history, ensuring your prospect data remains strictly confidential.

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