How to Use the SmartLead MCP in LangChain
Build multi-step reasoning pipelines with SmartLead using LangChain.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up SmartLead MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - 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 LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"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 SmartLead tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
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
Use it with your favorite AI tools
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Start using the SmartLead MCP today
We host it, we monitor it, we maintain it. You just paste one token.