FindThatLead MCP Server for LangChainGive LangChain instant access to 12 tools to Create Lead, Delete Lead, Domain Search, and more
LangChain is the leading Python framework for composable LLM applications. Connect FindThatLead through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The FindThatLead app connector for LangChain is a standout in the Marketing Automation category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"findthatlead": {
"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 FindThatLead, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 FindThatLead MCP Server
Connect your FindThatLead account to any AI agent and take full control of your B2B lead discovery and email verification workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with FindThatLead through native MCP adapters. Connect 12 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
- Domain Intelligence — Find all email addresses associated with any company domain programmatically and retrieve detailed contact metadata
- Email Discovery — Locate specific professional email addresses using a person's first name, last name, and company domain directly through your agent
- High-Fidelity Verification — Programmatically verify the validity and deliverability of any email address using a multi-step verification algorithm
- Prospecting Automation — Perform local business searches by keyword and location to discover new leads and automate your outreach pipeline
- Campaign Monitoring — Access your saved lead lists and outreach campaigns programmatically to monitor engagement and acquisition progress
The FindThatLead MCP Server exposes 12 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.
All 12 FindThatLead tools available for LangChain
When LangChain connects to FindThatLead through Vinkius, your AI agent gets direct access to every tool listed below — spanning email-discovery, prospecting, b2b-sales, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Save a new lead
Remove a lead
Find emails for a domain
Find email for a specific person
Verify an email address
Get account details
Get account usage stats
Get campaign details
Get lead details
List email campaigns
List saved leads
Find local business leads
Connect FindThatLead to LangChain via MCP
Follow these steps to wire FindThatLead into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the FindThatLead MCP Server
LangChain provides unique advantages when paired with FindThatLead through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine FindThatLead 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 FindThatLead queries for multi-turn workflows
FindThatLead + LangChain Use Cases
Practical scenarios where LangChain combined with the FindThatLead MCP Server delivers measurable value.
RAG with live data: combine FindThatLead tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query FindThatLead, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain FindThatLead tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every FindThatLead tool call, measure latency, and optimize your agent's performance
Example Prompts for FindThatLead in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with FindThatLead immediately.
"Find all emails for the domain 'stripe.com'."
"Verify if 'test@example.com' is a valid email."
"Find the email for 'John Doe' at 'acme.com'."
Troubleshooting FindThatLead MCP Server with LangChain
Common issues when connecting FindThatLead to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFindThatLead + LangChain FAQ
Common questions about integrating FindThatLead MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.