How do I find my Maropost Account ID?

Your Account ID is the numeric ID found in your Maropost login URL or in your account settings.

Where do I find my Auth Token?

Go to Maropost Settings > API to generate and copy your Auth Token.

Is my data secure with this integration?

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

Maropost MCP Server for LlamaIndex 11 tools — connect in under 2 minutes

Name: Maropost
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Maropost as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 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 Maropost. "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Maropost?"
    )
    print(response)

asyncio.run(main())

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About Maropost MCP Server

Connect your Maropost account to any AI agent and take full control of your marketing automation through natural conversation.

LlamaIndex agents combine Maropost 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 — Get contact details, list contacts in specific lists, and create/update records
Campaign Management — List all campaigns and fetch detailed configuration and status
List Management — Query contact lists and their specific details
Automation & Reports — Access workflows and retrieve detailed performance reports

The Maropost 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 Maropost to LlamaIndex via MCP

Follow these steps to integrate the Maropost 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 Maropost

Why Use LlamaIndex with the Maropost MCP Server

LlamaIndex provides unique advantages when paired with Maropost through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Maropost tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Maropost tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Maropost, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Maropost tools were called, what data was returned, and how it influenced the final answer

Maropost + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Maropost MCP Server delivers measurable value.

Hybrid search: combine Maropost real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Maropost 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 Maropost for fresh data

Analytical workflows: chain Maropost queries with LlamaIndex's data connectors to build multi-source analytical reports

Maropost MCP Tools for LlamaIndex (11)

These 11 tools become available when you connect Maropost to LlamaIndex via MCP:

create_contact

Create or update a contact

get_campaign_details

Get campaign details by ID

get_contact

Get contact details by email

get_list_details

Get list details by ID

get_report_details

Get report details by ID

get_workflow_details

Get workflow details by ID

list_campaigns

List all campaigns

list_contacts_in_list

List contacts in a specific list

list_lists

List all contact lists

list_reports

List all reports

list_workflows

List all workflows

Example Prompts for Maropost in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Maropost immediately.

"Find contact details for john.doe@example.com."

"List all active campaigns in Maropost."

"Show performance report for campaign ID 987."

Troubleshooting Maropost MCP Server with LlamaIndex

Common issues when connecting Maropost to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Maropost + LlamaIndex FAQ

Common questions about integrating Maropost MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Maropost tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.