Bring B2b Intelligence
to Google ADK
Create your Vinkius account to connect Leadfeeder to Google ADK and start using all 9 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Install this MCP Server base via Vurb
- Provide your secure API Developer token
- Start fetching prospects directly by conversing with your AI
Who is this for?
- B2B Sales Reps — find out today's top visits without leaving the chat pipeline tool
- Marketing Pros — verify traffic from latest campaigns instantly by questioning your bot
- Agency Execs — extract clean lead directories easily
Built-in capabilities (9)
Get details for a specific Leadfeeder account
Get details for a specific custom feed filter
Get details for a specific lead
Get the tracking script for the account
Get aggregate visits data across the entire account
Retrieve a list of accounts from Leadfeeder
Retrieve the custom feeds active within a specific account
Get the website visits directly associated with a specific lead
Retrieve a list of discovered leads within an account
Why Google ADK?
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.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Leadfeeder
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Leadfeeder tools with BigQuery, Vertex AI, and Cloud Functions
Leadfeeder in Google ADK
Why run Leadfeeder with Vinkius?
The Leadfeeder connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 9 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Leadfeeder using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Leadfeeder and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Leadfeeder to Google ADK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Leadfeeder for Google ADK
Every request between Google ADK and Leadfeeder is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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