How to Use the CUFinder MCP in Google ADK

Q: How does Google ADK interact with CUFinder?

You pass an McpToolset object into your agent's tool list. This allows the model to invoke functions like findemail when it needs to resolve contact information.

Q: Can I filter which CUFinder tools Google ADK sees?

You can provide a list of names to the toolnames parameter. This limits the agent's surface area to only the tools you want it to use.

Q: Is CUFinder compatible with Google ADK long-context models?

Yes, you can feed the results from getcompanyinfo into a model with a massive context window. This helps your agent reason about large prospecting datasets.

Integrate CUFinder into Google ADK to power your Gemini-driven agents with real-time B2B intelligence.

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Connect CUFinder MCP to Google ADK

Create your Vinkius account to connect CUFinder 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 CUFinder with Google ADK

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Connect CUFinder to Google ADK agents

Instantiate an `McpToolset` using the provided server URL and add it to your `LlmAgent`. This gives your Gemini agents direct access to the full suite of contact discovery tools. Use the `tool_names` filter if you only need specific functions like `find_domain` or `get_company_socials`. This keeps your agent's context window focused on relevant data.

Pull company insights using Google ADK

Your agent can now query `get_company_revenue` and `get_company_tech` to profile prospects stored in your BigQuery tables. It connects the dots between your existing data and fresh intelligence. Processing large lists becomes simple when you use `bulk_enrich` to iterate through your contacts. The agent handles the data mapping without extra boilerplate code.

Run an MCP Server on Google Cloud

The framework supports Stdio and HTTP transports to link your local or hosted server instance. Your agent interacts with this MCP Server as a native toolset extension. Reasoning over company data happens within Gemini's context window. You get accurate, structured insights ready for your enterprise workflows.

Setup guide

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

You pass an `McpToolset` object into your agent's tool list. This allows the model to invoke functions like `find_email` when it needs to resolve contact information.

You can provide a list of names to the `tool_names` parameter. This limits the agent's surface area to only the tools you want it to use.

Yes, you can feed the results from `get_company_info` into a model with a massive context window. This helps your agent reason about large prospecting datasets.

The Vinkius infrastructure isolates your session, and we only transmit the specific B2B contact strings requested. No persistent storage of your queries occurs on our end.

You bridge the gap between your cloud data and verified external business contact information. Your agents stop guessing and start using real data.

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