How to Use the Persana AI MCP in Google ADK

Q: How do I filter tools for Persana AI in Google ADK?

You can use the toolnames filter when initializing your McpToolset. This restricts the agent to only the functions you want it to execute.

Deploy enterprise-scale agents on Google ADK with Persana AI to link your BigQuery data to automated outbound workflows.

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Connect Persana AI MCP to Google ADK

Create your Vinkius account to connect Persana AI 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 Persana AI with Google ADK

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Direct BigQuery integration via Google ADK

Your Google Cloud infrastructure is already where your data lives. Use `get_lead_list` to pull records straight into your agent's reasoning loop for immediate analysis. This MCP Server fits right into your existing agentic pipelines. You can pipe the results of your analysis back into your database without leaving the Google ecosystem.

High-volume prospect research with Gemini

Gemini's massive context window pairs perfectly with `enrich_company` and `enrich_person`. Your agent can process hundreds of profiles at once to identify patterns that manual research misses. Use `search_people` to cast a wide net across your target segments. The agent filters the results based on the signals you care about, saving you from sorting through irrelevant leads.

Automated email validation for Google Cloud agents

Prevent bounce-back errors by running `verify_email` as a mandatory step in your agent's workflow. It ensures every lead you contact is reachable before your agent triggers a sequence. `lookup_email` handles the heavy lifting when you only have a name and company. It verifies the contact details so your outreach stays focused on qualified prospects.

Setup guide

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

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Persana AI MCP in Google ADK

You can use the tool_names filter when initializing your `McpToolset`. This restricts the agent to only the functions you want it to execute.

Yes. Your agent uses the Gemini model to interpret the outputs from `get_signals`. It maps company intent to specific outreach strategies in real-time.

It can. Your agent manages state through the server, allowing it to iterate through lists created by `create_lead_list` without hitting memory limits.

The server supports both Stdio and HTTP transports. This ensures a persistent connection for your long-running enterprise agent tasks.

This server processes business contact information and company intent signals. It only touches the data required to verify identities and find relevant job changes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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