How to Use the Mautic MCP in LangChain

Q: Does this LangChain integration support managing Mautic company records?

Yes. Your agent can call listcompanies to find existing organizations or getcompany to fetch specific details, allowing you to build account-based marketing chains that link contacts to their respective employers.

Build multi-step LangChain marketing pipelines that query, update, and segment your Mautic contacts on the fly.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Mautic MCP to LangChain

Create your Vinkius account to connect Mautic 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.

GDPR Free for Subscribers

Setup Mautic with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain Mautic updates directly into your LangChain runs

LangChain makes it easy to pass Mautic contact data directly from one step to the next without custom glue code. Your chain can trigger `get_contact` to check active fields, evaluate the payload, and immediately run `add_contact_to_segment` in a single execution loop. This is ideal for automated LangChain lead scoring workflows. When a contact takes action, your chain pulls their Mautic record, calculates a new score, and writes it back using `create_contact`.

Trace Mautic tool executions using LangSmith

When your LangChain agents run complex marketing sequences, LangSmith tracing records every single call to `list_segments` and `get_campaign`. You can inspect the exact inputs, outputs, and latency for your Mautic integrations in the LangSmith dashboard. This visibility keeps your LangChain token usage predictable when searching through contact databases. You can spot exactly where a chain might be looping or failing during a `list_contacts` query.

Build LangChain ReAct agents for Mautic campaigns

Stop writing rigid branching logic and let a LangChain ReAct agent decide when to trigger Mautic emails. The agent uses `list_emails` and `get_email` to evaluate active templates before deciding which one to send. The agent dynamically inspects your marketing state, checking company records with `get_company` and listing campaigns with `list_campaigns`. This lets your LangChain agent adapt its routing logic on the fly.

Setup guide

Set up Mautic 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 Mautic 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({
    "mautic-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 Mautic transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

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

Connect Mautic now

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 Mautic MCP in LangChain

Use MultiServerMCPClient to connect to the Vinkius endpoint and call client.get_tools(). You then pass this tool list directly into your LangChain create_agent function to expose endpoints like list_contacts and create_contact to your agent.

Yes, that is the core strength of this setup. Your LangChain agent can call get_contact to retrieve user details, parse the payload, and immediately feed that data into add_contact_to_segment to update their list membership in the same execution run.

LangSmith traces every tool call, meaning you can inspect the exact JSON payloads sent to list_campaigns or list_emails. This makes it easy to debug schema mismatches or trace why an agent decided to trigger a specific marketing action.

Yes. Your agent can call list_companies to find existing organizations or get_company to fetch specific details, allowing you to build account-based marketing chains that link contacts to their respective employers.

Vinkius manages your API credentials in a secure, zero-trust V8 Isolate sandbox, so your LangChain application never handles raw Mautic keys directly. The MCP server only processes ephemeral requests to read or modify your contacts and segments, and then immediately discards the session memory.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript