Maileon 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 Maileon 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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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 Maileon. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Maileon?"
)
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 Maileon MCP Server
Connect your Maileon account to any AI agent to automate your professional email marketing and audience management. This MCP server enables your agent to manage subscribers, control mailing lifecycles, and retrieve detailed performance statistics directly from natural language interfaces.
LlamaIndex agents combine Maileon 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
- Contact Management — List all subscribers, retrieve complete profiles by email, and manage opt-ins and opt-outs
- Mailing Control — Monitor your email campaigns (mailings), retrieve metadata, and trigger official dispatches when ready
- Real-time Reporting — Retrieve KPIs and statistics for individual mailings, including opens, clicks, and bounces
- Audience Hygiene — Monitor unsubscription events and permanently remove contacts to maintain list quality
- Data Ingestion — Create and update subscriber records programmatically to sync with your external CRMs
The Maileon 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 Maileon to LlamaIndex via MCP
Follow these steps to integrate the Maileon 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 Maileon
Why Use LlamaIndex with the Maileon MCP Server
LlamaIndex provides unique advantages when paired with Maileon through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Maileon tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Maileon tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Maileon, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Maileon tools were called, what data was returned, and how it influenced the final answer
Maileon + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Maileon MCP Server delivers measurable value.
Hybrid search: combine Maileon real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Maileon 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 Maileon for fresh data
Analytical workflows: chain Maileon queries with LlamaIndex's data connectors to build multi-source analytical reports
Maileon MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Maileon to LlamaIndex via MCP:
create_new_contact
Can trigger a Double Opt-In process if configured. Add or update a contact in the database
delete_account_contact
Remove a contact from the account
dispatch_email_mailing
The mailing must be in a ready state. Trigger the dispatch of a mailing
get_contact_by_email
Get details for a specific contact
get_mailing_details
Get details for a specific mailing
get_mailing_statistics
Get performance statistics for a mailing
list_account_contacts
Use optional params for filtering. List all contacts in the Maileon account
list_email_mailings
Use optional params to filter by state (e.g., "state=draft"). List all mailings (campaigns)
list_unsubscription_events
List recent unsubscription events
Example Prompts for Maileon in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Maileon immediately.
"List all active mailings in my Maileon account."
"Get the latest statistics for mailing ID '12345'."
"Add 'new-user@example.com' to my Maileon contacts."
Troubleshooting Maileon MCP Server with LlamaIndex
Common issues when connecting Maileon to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMaileon + LlamaIndex FAQ
Common questions about integrating Maileon 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 Maileon 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 Maileon to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.