How to Use the Leadfeeder MCP in Google ADK

Q: How do I connect the Leadfeeder toolset to my Google ADK agent?

Initialize the McpToolset with the Vinkius HTTP URL and pass it to your Google ADK LlmAgent to access Leadfeeder tools. The Vinkius MCP endpoint connects your Google ADK agent directly to Leadfeeder's real-time company database.

Q: Can I filter which Leadfeeder tools are exposed to Google ADK?

Yes, you can use the toolnames filter in your Google ADK configuration to limit access to Leadfeeder tools. This prevents your Google ADK agent from accessing setup tools while allowing full access to Leadfeeder lead data.

Q: Does this Leadfeeder integration work with Gemini's 1M token context in Google ADK?

Yes, you can feed entire Leadfeeder visitor histories from listleadvisits directly into Gemini's massive context window using Google ADK. This allows your Google ADK model to analyze long-term Leadfeeder browsing patterns without losing track of earlier visits.

Q: How do I handle Leadfeeder API rate limits within Google ADK?

Your Google ADK agent can safeguard calls to listaccountvisits by using built-in retry policies when fetching Leadfeeder data. This prevents Leadfeeder API rate limits from breaking your Google ADK data pipelines.

Connect Leadfeeder web traffic to your Gemini models via Google ADK to enrich BigQuery tables with real-time intent.

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Connect Leadfeeder MCP to Google ADK

Create your Vinkius account to connect Leadfeeder 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 Leadfeeder with Google ADK

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Run deep Leadfeeder lookups with Google ADK

Bring Leadfeeder's firmographic intelligence directly into your Google ADK pipelines. Your Google ADK agent can use `list_leads` to identify visiting Leadfeeder companies and cross-reference them with your existing BigQuery customer records. Once a match is found, the Google ADK agent calls `get_lead` to pull specific Leadfeeder profiles. That's how you enrich your marketing database on Google Cloud with Leadfeeder data without writing complex integration boilerplate.

Segment Leadfeeder traffic with this MCP Server

Raw Leadfeeder web traffic is too noisy for enterprise sales teams running Google ADK campaigns. This MCP Server exposes `list_custom_feeds` so your Gemini models running on Google ADK can filter Leadfeeder visitors based on pre-defined rules. The Google ADK agent uses `get_custom_feed` to isolate Leadfeeder accounts that spent more than five minutes on your pricing page. This keeps your Google ADK workflows focused only on target Leadfeeder accounts.

Audit Leadfeeder scripts with Google ADK

If you're managing multiple web properties, your Google ADK agent can call `list_accounts` to get all connected Leadfeeder profiles and then fetch the correct script using `get_tracking_script`. The Gemini model running on Google ADK won't struggle to verify if the Leadfeeder tracking pixel is live across all your domains. This ensures your Google ADK pipelines never miss a single Leadfeeder visitor session.

Setup guide

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

Initialize the `McpToolset` with the Vinkius HTTP URL and pass it to your Google ADK `LlmAgent` to access Leadfeeder tools. The Vinkius MCP endpoint connects your Google ADK agent directly to Leadfeeder's real-time company database.

Yes, you can use the `tool_names` filter in your Google ADK configuration to limit access to Leadfeeder tools. This prevents your Google ADK agent from accessing setup tools while allowing full access to Leadfeeder lead data.

Yes, you can feed entire Leadfeeder visitor histories from `list_lead_visits` directly into Gemini's massive context window using Google ADK. This allows your Google ADK model to analyze long-term Leadfeeder browsing patterns without losing track of earlier visits.

Your Google ADK agent can safeguard calls to `list_account_visits` by using built-in retry policies when fetching Leadfeeder data. This prevents Leadfeeder API rate limits from breaking your Google ADK data pipelines.

Your Leadfeeder API tokens and account IDs are never written to disk during Google ADK executions. Vinkius executes the MCP Server within an ephemeral V8 sandbox, passing credentials directly to the Leadfeeder API securely for your Google ADK runtime.

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