Listmonk MCP Server for LlamaIndexGive LlamaIndex instant access to 28 tools to Create Campaign, Create List, Create Public Subscription, and more

Name: Listmonk
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

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

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The Listmonk MCP Server for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 28 tools to work with, ready to go from day one.

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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 Listmonk. "
            "You have 28 tools available."
        ),
    )

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

asyncio.run(main())

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* 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 Listmonk MCP Server

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

LlamaIndex agents combine Listmonk tool responses with indexed documents for comprehensive, grounded answers. Connect 28 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

Subscriber Management — List, create, update, or delete subscribers using SQL-like queries for precise filtering via list_subscribers and create_subscriber.
List Organization — Manage your mailing lists and public subscriptions to keep your audience segmented using list_lists and create_list.
Campaign Control — Create, monitor, and update the status of your email campaigns from draft to sent with create_campaign and update_campaign_status.
Transactional Emails — Send high-priority transactional messages instantly via the send_transactional tool.
Media & Templates — Manage your asset library and email templates without leaving your chat interface using list_templates and list_media.

The Listmonk MCP Server exposes 28 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 28 Listmonk tools available for LlamaIndex

When LlamaIndex connects to Listmonk through Vinkius, your AI agent gets direct access to every tool listed below — spanning newsletter-management, mailing-lists, subscriber-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create campaign on Listmonk

Create a new campaign

create

Create list on Listmonk

Create a new list

create

Create public subscription on Listmonk

Create a public subscription

create

Create subscriber on Listmonk

Create a new subscriber

create

Create template on Listmonk

Create a template

delete

Delete bounces on Listmonk

Delete multiple bounce records

delete

Delete campaign on Listmonk

Delete a campaign

delete

Delete list on Listmonk

Delete a list

delete

Delete media on Listmonk

Delete a media file

delete

Delete subscriber on Listmonk

Delete a specific subscriber

delete

Delete template on Listmonk

Delete a template

get

Get campaign on Listmonk

Retrieve a specific campaign

get

Get import status on Listmonk

Retrieve import status

get

Get subscriber on Listmonk

Retrieve a specific subscriber

list

List bounces on Listmonk

Retrieve bounce records

list

List campaigns on Listmonk

Retrieve all campaigns

list

List lists on Listmonk

Retrieve all lists

list

List media on Listmonk

Get uploaded media files

list

List public lists on Listmonk

Retrieve public lists

list

List subscribers on Listmonk

Supports pagination, list filtering, and SQL expression search. Query and retrieve subscribers

list

List templates on Listmonk

Retrieve all templates

patch

Patch subscriber on Listmonk

Partially update a subscriber

send

Send transactional message on Listmonk

Send transactional messages to one or more subscribers using a template

stop

Stop import on Listmonk

Stop an ongoing import

update

Update campaign status on Listmonk

Change campaign status

update

Update list on Listmonk

Update a list

update

Update subscriber on Listmonk

Update a specific subscriber

update

Update template on Listmonk

Update a template

Connect Listmonk to LlamaIndex via MCP

Follow these steps to wire Listmonk into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 28 tools from Listmonk

Why Use LlamaIndex with the Listmonk MCP Server

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

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

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

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

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

Listmonk + LlamaIndex Use Cases

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

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

Data enrichment: query Listmonk 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 Listmonk for fresh data

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

Example Prompts for Listmonk in LlamaIndex

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

"List all subscribers who are currently enabled in list 2."

"Create a new campaign named 'Monthly Newsletter' with the subject 'Our latest updates'."

"Show me all available email templates."

Troubleshooting Listmonk MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Listmonk + LlamaIndex FAQ

Common questions about integrating Listmonk 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 Listmonk tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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