Mautic MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mautic as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Mautic. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Mautic?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Mautic tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Mautic MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 11 tools from Mautic
Why Use LlamaIndex with the Mautic MCP Server
LlamaIndex provides unique advantages when paired with Mautic through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Mautic tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Mautic tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Mautic, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Mautic tools were called, what data was returned, and how it influenced the final answer
Mautic + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Mautic MCP Server delivers measurable value.
Hybrid search: combine Mautic real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Mautic to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Mautic for fresh data
Analytical workflows: chain Mautic queries with LlamaIndex's data connectors to build multi-source analytical reports
Mautic MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Mautic to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Mautic to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMautic + LlamaIndex FAQ
Common questions about integrating Mautic MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Mautic with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Mautic to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.