ContactOut MCP Server for LangChainGive LangChain instant access to 7 tools to Enrich Company, Enrich Contact, Find Email By Linkedin, and more
LangChain is the leading Python framework for composable LLM applications. Connect ContactOut 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 ContactOut app connector for LangChain is a standout in the Sales Automation category — giving your AI agent 7 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({
"contactout": {
"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 ContactOut, 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 ContactOut MCP Server
Connect your ContactOut account to any AI agent to streamline your B2B lead generation and talent acquisition workflows through natural conversation. ContactOut provides a powerful intelligence layer for discovering verified contact information and enriching professional profiles at scale.
LangChain's ecosystem of 500+ components combines seamlessly with ContactOut through native MCP adapters. Connect 7 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 Discovery Orchestration — Instantly retrieve verified email addresses and direct phone numbers using LinkedIn profile URLs programmatically
- Professional Enrichment — Enrich contact and company data with detailed attributes, including job titles, locations, and social links to maintain a high-fidelity CRM
- Deep Semantic Search — Programmatically search the ContactOut database of 300M+ people using advanced filters for skills, titles, and locations
- Identity Resolution — Find the LinkedIn profile associated with a specific email address to perfectly coordinate your multichannel outreach
- Administrative Visibility — Programmatically track your credit balance and API usage statistics to coordinate your recruitment and sales budgets
The ContactOut MCP Server exposes 7 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 7 ContactOut tools available for LangChain
When LangChain connects to ContactOut through Vinkius, your AI agent gets direct access to every tool listed below — spanning contact-discovery, email-enrichment, talent-acquisition, 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.
Enrich company data
Enrich contact data
Find email by LinkedIn profile
Find LinkedIn profile by email
Get API usage statistics
Search for companies
Search for people
Connect ContactOut to LangChain via MCP
Follow these steps to wire ContactOut 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 ContactOut MCP Server
LangChain provides unique advantages when paired with ContactOut through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine ContactOut 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 ContactOut queries for multi-turn workflows
ContactOut + LangChain Use Cases
Practical scenarios where LangChain combined with the ContactOut MCP Server delivers measurable value.
RAG with live data: combine ContactOut tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ContactOut, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ContactOut tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ContactOut tool call, measure latency, and optimize your agent's performance
Example Prompts for ContactOut in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with ContactOut immediately.
"Find the contact email for this LinkedIn profile: https://www.linkedin.com/in/williamhgates"
"Search for 'Python' developers in 'London' with at least 5 years of experience."
"Check my current API credit balance on ContactOut."
Troubleshooting ContactOut MCP Server with LangChain
Common issues when connecting ContactOut to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersContactOut + LangChain FAQ
Common questions about integrating ContactOut 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.