How to Use the ContactOut MCP in LangChain

Q: Can my LangChain agent monitor API usage for ContactOut?

Yes, the agent can call getapiusage to check your remaining balance before executing large batch jobs. This keeps your automated runs from hitting unexpected limits.

Build multi-step outbound chains in LangChain that find verified emails and phone numbers automatically.

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Connect ContactOut MCP to LangChain

Create your Vinkius account to connect ContactOut to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup ContactOut with LangChain

Ask AI about this MCP

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Claude

Perplexity

Chain ContactOut searches for automated lead generation

The `search_people` tool finds professional profiles based on your specific targeting criteria directly from your LangChain agent. Your agent runs this search, grabs the results, and feeds them directly into your outbound email drafts without manual copy-pasting. By linking this tool with your existing databases, your agent decides when to trigger a search based on missing lead data. This turns a manual sourcing chore into a self-running pipeline.

Verify contact details on the fly with LangChain

The `enrich_contact` tool pulls direct phone numbers and personal emails using raw profile data. When your ReAct agent spots an incomplete contact record in your database, it calls this tool to fill the gaps immediately. You get clean data injected straight into your LangSmith-monitored runs. This means you can track exactly how much your agent spends on API calls while keeping your CRM updated.

Convert LinkedIn links to emails using this MCP Server

The `find_email_by_linkedin` tool resolves public social profiles into verified corporate and personal email addresses. Your LangChain agent handles the dirty work of parsing raw URLs and extracting the clean contact handles. Connecting this MCP Server to your multi-step chains lets you build lists from simple web scrapes. You feed in a list of LinkedIn links and get back a clean CSV of deliverable addresses.

Setup guide

Set up ContactOut MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes ContactOut tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "contactout-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent ContactOut transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ContactOut. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about ContactOut MCP in LangChain

Install the MCP adapter package and initialize the MultiServerMCPClient with your Vinkius endpoint. Pass the retrieved tools to your agent creator, and you are ready to run chains.

Yes, the agent can call `get_api_usage` to check your remaining balance before executing large batch jobs. This keeps your automated runs from hitting unexpected limits.

Yes, every tool execution shows up in your LangSmith dashboard when using the LangChain adapter. You can inspect the inputs and outputs of `enrich_company` or any other tool in real-time.

The tool returns an empty result or a failure status. Your agent can catch this and try alternative tools like `search_companies` to find general company contacts instead.

Vinkius runs the server in a secure sandbox, meaning your API keys and the retrieved phone numbers never persist on our servers. All transit uses secure encryption, keeping your target prospect details private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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