How to Use the Mav MCP in LangChain

Q: What happens to opt-out requests in LangChain?

When a lead triggers optoutlead, the server registers the status change immediately. Your agent can catch this event and update your local database to stop further contact.

Automate lead qualification and SMS outreach directly inside your LangChain pipelines for faster conversions.

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Connect Mav MCP to LangChain

Create your Vinkius account to connect Mav 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 Mav with LangChain

Ask AI about this MCP

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Claude

Perplexity

Inject SMS automation into LangChain chains

You can now chain Mav tools directly into your agentic workflows. By passing the output of a CRM lookup into `create_lead`, your agent decides when to trigger a specific SMS flow without manual intervention. This lets you build complex, multi-step qualification logic where the agent evaluates lead data before deciding whether to launch a playbook using `list_playbooks`.

Full observability for every Mav MCP Server call

Since every interaction is part of your LangChain trace, you see exactly how the agent handles lead records. You can debug why a specific `update_lead` call happened or check the latency of the SMS dispatch. This visibility ensures your automated outreach stays on track. If a lead opts out, the `opt_out_lead` event shows up immediately in your logs for review.

Dynamic lead management via LangChain agents

Your agents can query and manage your entire lead database in real-time. By using `list_leads` and `get_lead`, the agent maintains a current view of your sales pipeline. It handles the heavy lifting of updating records with `update_lead` or stopping stale outreach via `stop_playbook` based on custom business rules you define in your code.

Setup guide

Set up Mav 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 Mav 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({
    "mav-alternative-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 Mav transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Mav MCP in LangChain

You connect the server as a toolset within your agent's execution environment. This lets your agent call functions like `create_lead` directly within the chain.

Yes, the tools allow you to list, fetch, and modify lead records. You can pull data from a database and push it into a Mav playbook automatically.

The server provides stateless tool access that you can wrap in your own session handling. Use the client session to maintain context across your LangChain calls.

We only handle the contact details required for SMS delivery. Your data stays within your controlled environment and is not used for training models.

When a lead triggers `opt_out_lead`, the server registers the status change immediately. Your agent can catch this event and update your local database to stop further contact.

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