How do I authenticate?

Find your native API Integration string in your web dashboard and pass it as your LEADFEEDER_API_KEY. Our agent queries standard endpoints natively from it.

Can I filter visitors by country?

Yes, depending on your prompts, the AI can filter the resulting arrays based on domain and geographical metadata provided.

How far back does the tracking retention go?

This mirrors your existing subscription tier limits within the web platform.

Leadfeeder MCP Server for Google ADK 9 tools — connect in under 2 minutes

Name: Leadfeeder
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Leadfeeder as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="leadfeeder_agent",
    instruction=(
        "You help users interact with Leadfeeder "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Leadfeeder MCP Server

Connect your Leadfeeder tracking system to an AI agent to analyze high-quality B2B internet traffic. Track precise analytics without using heavy third-party dashboard setups directly in Cursor or Claude.

Google ADK natively supports Leadfeeder as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Discover Target Leads: Fetch the list of verified companies engaging with your tracking pixel on specific domains.
Visitor Analytics: Drill into session specifics of organizations interacting behind the scenes.
Sales Pipeline: Identify key B2B traffic and prioritize new cold email targets or warm follow-ups immediately.

The Leadfeeder MCP Server exposes 9 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Leadfeeder to Google ADK via MCP

Follow these steps to integrate the Leadfeeder MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 9 tools from Leadfeeder via MCP

Why Use Google ADK with the Leadfeeder MCP Server

Google ADK provides unique advantages when paired with Leadfeeder through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Leadfeeder

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Leadfeeder tools with BigQuery, Vertex AI, and Cloud Functions

Leadfeeder + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Leadfeeder MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Leadfeeder and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Leadfeeder tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Leadfeeder regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Leadfeeder

Leadfeeder MCP Tools for Google ADK (9)

These 9 tools become available when you connect Leadfeeder to Google ADK via MCP:

get_account

Get details for a specific Leadfeeder account

get_custom_feed

Get details for a specific custom feed filter

get_lead

Get details for a specific lead

get_tracking_script

Get the tracking script for the account

list_account_visits

Get aggregate visits data across the entire account

list_accounts

Retrieve a list of accounts from Leadfeeder

list_custom_feeds

Retrieve the custom feeds active within a specific account

list_lead_visits

Get the website visits directly associated with a specific lead

list_leads

Retrieve a list of discovered leads within an account

Example Prompts for Leadfeeder in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Leadfeeder immediately.

"Analyze and list all identified corporate visitors targeting my site."

"Are there any manufacturing sector companies viewing our price points?"

"Highlight repeat prospects viewing documentation sections."

Troubleshooting Leadfeeder MCP Server with Google ADK

Common issues when connecting Leadfeeder to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Leadfeeder + Google ADK FAQ

Common questions about integrating Leadfeeder MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.