Lusha MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Lusha 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"lusha": {
"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 Lusha, 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 Lusha MCP Server
Connect Lusha to your AI agent and access verified B2B contact data for your sales prospecting.
LangChain's ecosystem of 500+ components combines seamlessly with Lusha through native MCP adapters. Connect 6 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
- Contact Enrichment — Find verified emails, direct dial phone numbers, and social profiles for any prospect.
- Company Data — Pull firmographic data including industry, employee count, revenue range, and headquarters location.
- Prospect Search — Build targeted prospect lists filtered by job title, seniority, company size, and geography.
- Bulk Enrichment — Enrich multiple contacts at once from your existing CRM or lead lists.
The Lusha MCP Server exposes 6 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 Lusha to LangChain via MCP
Follow these steps to integrate the Lusha 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 6 tools from Lusha via MCP
Why Use LangChain with the Lusha MCP Server
LangChain provides unique advantages when paired with Lusha through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Lusha 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 Lusha queries for multi-turn workflows
Lusha + LangChain Use Cases
Practical scenarios where LangChain combined with the Lusha MCP Server delivers measurable value.
RAG with live data: combine Lusha tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Lusha, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Lusha tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Lusha tool call, measure latency, and optimize your agent's performance
Lusha MCP Tools for LangChain (6)
These 6 tools become available when you connect Lusha to LangChain via MCP:
bulk_enrich
Bulk enrich emails
find_by_linkedin
Find by LinkedIn URL
find_company
Find company
find_person
Find person
get_credits
Get credit balance
search_contacts
Search contacts
Example Prompts for Lusha in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Lusha immediately.
"Find the contact details for John Smith, VP Sales at TechCo."
"Enrich this list of 5 contacts from my CRM."
"Search for marketing directors at fintech companies in London."
Troubleshooting Lusha MCP Server with LangChain
Common issues when connecting Lusha to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersLusha + LangChain FAQ
Common questions about integrating Lusha 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.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Lusha with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lusha to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.