How do I enable the Mautic API?

Go to Mautic Settings > Configuration > API Settings and set 'API Enabled?' to 'Yes'. Also enable 'HTTP Basic Auth' for this integration.

Can I search for contacts by email?

Yes! Use the `list_contacts` tool and provide the email address in the search parameter.

Is my Mautic data secure?

Absolutely. Your credentials are encrypted at rest and injected securely at runtime.

Mautic MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: Mautic
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Mautic through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "mautic": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Mautic, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Mautic MCP Server

Connect your Mautic marketing automation instance to any AI agent and take full control of your marketing workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Mautic through native MCP adapters. Connect 11 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Contact Management — Search for contacts, fetch detailed profiles, and create new records on the fly
Campaign Tracking — List and inspect marketing automation campaigns and their configurations
Email Marketing — Manage email templates and retrieve details for specific marketing emails
Audience Segmentation — List contact segments and add contacts to specific lists for targeted marketing
Company Data — Manage company (account) records and their associations within Mautic

The Mautic MCP Server exposes 11 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Mautic to LangChain via MCP

Follow these steps to integrate the Mautic MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from Mautic via MCP

Why Use LangChain with the Mautic MCP Server

LangChain provides unique advantages when paired with Mautic through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Mautic MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Mautic queries for multi-turn workflows

Mautic + LangChain Use Cases

Practical scenarios where LangChain combined with the Mautic MCP Server delivers measurable value.

RAG with live data: combine Mautic tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Mautic, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Mautic tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Mautic tool call, measure latency, and optimize your agent's performance

Mautic MCP Tools for LangChain (11)

These 11 tools become available when you connect Mautic to LangChain via MCP:

add_contact_to_segment

Add a contact to a segment

create_contact

Create a new contact

get_campaign

Get campaign details by ID

get_company

Get company details by ID

get_contact

Get a specific contact by ID

get_email

Get email details by ID

list_campaigns

List all campaigns

list_companies

List all companies

list_contacts

Supports an optional search query. List or search contacts

list_emails

List all email templates

list_segments

List all contact segments

Example Prompts for Mautic in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Mautic immediately.

"Find contact info for john.doe@example.com in Mautic."

"List all active marketing campaigns."

"Add contact ID 1234 to segment ID 5."

Troubleshooting Mautic MCP Server with LangChain

Common issues when connecting Mautic to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Mautic + LangChain FAQ

Common questions about integrating Mautic MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.