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 LangChain 9 tools — connect in under 2 minutes

Name: Leadfeeder
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Leadfeeder through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "leadfeeder": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Leadfeeder, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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IAMAccess control

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Ed25519Audit chain

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Leadfeeder through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Leadfeeder MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from Leadfeeder via MCP

Why Use LangChain with the Leadfeeder MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Leadfeeder MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Leadfeeder queries for multi-turn workflows

Leadfeeder + LangChain Use Cases

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

RAG with live data: combine Leadfeeder tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Leadfeeder, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Leadfeeder tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Leadfeeder tool call, measure latency, and optimize your agent's performance

Leadfeeder MCP Tools for LangChain (9)

These 9 tools become available when you connect Leadfeeder to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Leadfeeder + LangChain FAQ

Common questions about integrating Leadfeeder MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.