MailWizz MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add MailWizz 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 MailWizz. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in MailWizz?"
)
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 MailWizz MCP Server
Connect your MailWizz instance to any AI agent to automate your professional email marketing and audience management. This MCP server enables your agent to manage subscriber lists, control campaign lifecycles, and update subscriber data directly from natural language interfaces.
LlamaIndex agents combine MailWizz tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Campaign Oversight — List all email campaigns and retrieve detailed metadata and status information
- Mailing Control — Pause or unpause campaigns and manage their delivery lifecycle programmatically
- Audience Management — List all subscriber collections (lists) and retrieve their unique identifiers
- Subscriber Administration — Add, update, and remove subscribers from specific lists using their UIDs
- Data Ingestion — Sync subscriber information and manage custom fields across your email databases
- Self-Hosted Support — Works with any self-hosted MailWizz instance using your personal API keys
The MailWizz MCP Server exposes 9 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 MailWizz to LlamaIndex via MCP
Follow these steps to integrate the MailWizz 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 9 tools from MailWizz
Why Use LlamaIndex with the MailWizz MCP Server
LlamaIndex provides unique advantages when paired with MailWizz through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine MailWizz tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain MailWizz tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query MailWizz, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what MailWizz tools were called, what data was returned, and how it influenced the final answer
MailWizz + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the MailWizz MCP Server delivers measurable value.
Hybrid search: combine MailWizz real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query MailWizz 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 MailWizz for fresh data
Analytical workflows: chain MailWizz queries with LlamaIndex's data connectors to build multi-source analytical reports
MailWizz MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect MailWizz to LlamaIndex via MCP:
add_subscriber_to_list
Requires a list UID and subscriber data. Add a new subscriber to a list
delete_list_subscriber
Remove a subscriber from a list
get_campaign_details
Get details for a specific campaign
get_list_details
Get details for a specific subscriber list
list_email_campaigns
List all email marketing campaigns
list_list_subscribers
List subscribers in a specific list
list_subscriber_collections
List all subscriber lists
pause_email_campaign
Pause a running campaign
update_list_subscriber
Update an existing subscriber
Example Prompts for MailWizz in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with MailWizz immediately.
"List all active email campaigns in MailWizz."
"Add 'user@example.com' to my 'Main Leads' list (UID: 'lz987xyz')."
"Pause the email campaign with UID 'cp456def'."
Troubleshooting MailWizz MCP Server with LlamaIndex
Common issues when connecting MailWizz to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMailWizz + LlamaIndex FAQ
Common questions about integrating MailWizz 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 MailWizz 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 MailWizz to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
