How to Use the Mautic MCP in LlamaIndex

Q: Can LlamaIndex index my Mautic email templates for semantic search?

Yes. You can use the listemails and getemail tools to fetch your email content, which LlamaIndex then indexes into a vector store so your agent can retrieve relevant templates based on semantic queries.

Q: How does this LlamaIndex integration handle complex Mautic contact searches?

The agent uses the listcontacts tool to run search queries against your database. LlamaIndex then parses the resulting contact list, allowing you to run semantic filters or group contacts before running further marketing steps.

Index live Mautic marketing data directly into LlamaIndex vector stores for highly contextual, hallucination-free RAG.

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Connect Mautic MCP to LlamaIndex

Create your Vinkius account to connect Mautic to LlamaIndex 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 Mautic with LlamaIndex

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Turn your Mautic database into a LlamaIndex queryable index

LlamaIndex doesn't just execute tool calls; it indexes your Mautic campaign data into vector stores for semantic retrieval. When you run `list_emails` or `list_segments` via this MCP server, LlamaIndex ingests the output so your agent can search your marketing assets. This allows you to build RAG applications that search past Mautic email templates fetched via `get_email`. Your LlamaIndex agent can quickly find successful copy patterns or search segments with `list_segments` without hitting API rate limits.

Ground LlamaIndex RAG applications in real Mautic contact data

Eliminate hallucinations by grounding your LlamaIndex responses in live Mautic contact records retrieved via `get_contact`. The index matches user queries against actual campaign enrollment data pulled from `get_campaign`. This ensures that any copy generated by your LlamaIndex pipeline matches the recipient's actual status. The pipeline checks company details with `get_company` and past interactions with `list_contacts` to keep the context accurate.

Query Mautic databases using LlamaIndex natural language engines

Build a natural language interface that lets you query your Mautic database using LlamaIndex query engines. Your agent can search for leads using `list_contacts` and then apply `add_contact_to_segment` based on semantic criteria. You can also list all active initiatives with `list_campaigns` and let LlamaIndex synthesize a summary of your marketing strategy. This gives your team a clear overview of active workflows without manual reporting.

Setup guide

Set up Mautic MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Mautic MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Mautic tools.",
)
response = await agent.run("List recent Mautic data")

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Common questions about Mautic MCP in LlamaIndex

Initialize the BasicMCPClient with your Vinkius URL, wrap it in a McpToolSpec, and call to_tool_list_async(). You can then pass these tools directly to your LlamaIndex FunctionAgent to start managing your contacts and campaigns.

Yes. You can use the list_emails and get_email tools to fetch your email content, which LlamaIndex then indexes into a vector store so your agent can retrieve relevant templates based on semantic queries.

The agent uses the list_contacts tool to run search queries against your database. LlamaIndex then parses the resulting contact list, allowing you to run semantic filters or group contacts before running further marketing steps.

Yes. Your LlamaIndex agent can analyze contact behavior, find the right list using list_segments, and then execute add_contact_to_segment to dynamically update your marketing audiences based on the latest data.

All communication runs through a zero-trust V8 Isolate sandbox on Vinkius, which acts as a secure proxy. The MCP server only retrieves specific contact details, email templates, and segment lists requested by your LlamaIndex agent, ensuring no unauthorized data exposure occurs.

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