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How to Use the SmartLead MCP in LangChain

Build multi-step reasoning pipelines with SmartLead using LangChain.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

SmartLead MCP on Cursor AI Code Editor MCP Client SmartLead MCP on Claude Desktop App MCP Integration SmartLead MCP on OpenAI Agents SDK MCP Compatible SmartLead MCP on Visual Studio Code MCP Extension Client SmartLead MCP on GitHub Copilot AI Agent MCP Integration SmartLead MCP on Google Gemini AI MCP Integration SmartLead MCP on Lovable AI Development MCP Client SmartLead MCP on Mistral AI Agents MCP Compatible SmartLead MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on LangChain

Connect SmartLead MCP to LangChain

Create your Vinkius account to connect SmartLead to LangChain — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Manage Outreach Campaigns via LangChain

The `list_campaigns` tool lets your agent see every campaign currently running in SmartLead. This helps you check the overall status before starting a sequence. Want to control the flow? You can use `pause_campaign` or `resume_campaign`. Your agent handles these state changes, so you don't have to jump into the web dashboard.

Track Lead Data with LangChain

Need a list of who we're talking to? The `list_leads` tool pulls all current contacts from SmartLead. You can then feed this data directly into subsequent steps in your chain. It’s also smart enough to add new people using `add_lead`. This whole process keeps the lead flow going without manual intervention.

Analyze Performance with LangChain

Determine what's working by calling `get_campaign_analytics`. This tool gives you hard numbers on performance, letting your agent decide if a campaign needs tweaking. If the analytics point to trouble, check out `get_campaign` for deeper details. The ability to chain these calls makes decision-making automatic.

Setup guide

Set up SmartLead MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes SmartLead tool calls through the MCP protocol.

  4. 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({
    "smartlead-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 SmartLead transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SmartLead. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about SmartLead MCP in LangChain

It lets your agent treat every function as a step in a complex process. You don't just call one thing; you build an entire sequence of actions using the MCP Server.
Yeah, you can check what accounts are available with `list_email_accounts`. This tool helps your agent know which sending endpoint to use next in a rotation sequence.
LangSmith tracing tracks everything. You get latency, token usage, and detailed inputs/outputs for every single tool call involving the SmartLead MCP Server. It’s fully observable.
Absolutely. Your agent can check leads (`list_leads`), run analytics (`get_campaign_analytics`), and then pause or resume the campaign—all in one multi-step pipeline.
It handles lead data, including contact details for `add_lead` and `list_leads`. It also manages campaign status, like running campaigns or listing email accounts.

Start using the SmartLead MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for SmartLead. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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