How to Use the Maileon MCP in LlamaIndex

Q: How do I index Maileon campaign statistics in LlamaIndex?

Use McpToolSpec to load the tools from the server and pass them to your LlamaIndex agent. The agent can call getmailingstatistics and load the raw metrics directly into your document index.

Q: Can I filter mailings by state using LlamaIndex?

Yes, your agent can pass optional filter parameters to listemailmailings. This allows you to restrict index updates to sent campaigns or draft mailings depending on your application needs.

Index Maileon campaign performance and contact lists directly into LlamaIndex vector stores for semantic querying.

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Connect Maileon MCP to LlamaIndex

Create your Vinkius account to connect Maileon to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Maileon with LlamaIndex

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Build RAG apps using Maileon and LlamaIndex

Turn your email history into a searchable knowledge base. By using this MCP Server with LlamaIndex, your RAG pipeline can retrieve historical campaign performance data directly from your account. The agent calls `list_email_mailings` to retrieve drafts and sent campaigns, then pulls performance metrics via `get_mailing_statistics`. This data is indexed into your vector store, allowing you to ask your model which subject lines performed best over the last quarter.

Semantic search over contact lists and segments

Query your subscriber base using natural language. Your LlamaIndex agent can run `list_account_contacts` to pull contact details and feed them into a query engine. Instead of writing complex SQL queries, you can ask the agent to find active users who joined recently. The agent uses `get_contact_by_email` to verify specific profiles and returns structured summaries of your audience segments.

Automated reporting and insight generation

Generate deep performance insights without opening the dashboard. This MCP Server lets your agent call `get_mailing_details` and `get_mailing_statistics` to fetch raw campaign metrics, then indexes this information for immediate analysis. This setup lets you ask questions like why a specific mailing had high unsubscribe rates. The agent correlates the campaign content with data from `list_unsubscription_events` to pinpoint delivery or content issues.

Setup guide

Set up Maileon MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Maileon MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Maileon tools.",
)
response = await agent.run("List recent Maileon data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Maileon. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Maileon MCP in LlamaIndex

Use `McpToolSpec` to load the tools from the server and pass them to your LlamaIndex agent. The agent can call `get_mailing_statistics` and load the raw metrics directly into your document index.

Yes. If your query engine identifies contacts that need updating, the agent can call `create_new_contact` to modify their details or trigger an opt-in process directly from the index.

The server handles standard HTTP retry headers automatically. If your LlamaIndex pipeline makes frequent calls to `list_account_contacts`, the server manages the rate limiting to prevent API blocks.

Yes, your agent can pass optional filter parameters to `list_email_mailings`. This allows you to restrict index updates to sent campaigns or draft mailings depending on your application needs.

Yes, Vinkius executes the server in an ephemeral sandbox that handles authentication securely via a single token. Your mailing details and performance statistics are processed in memory and never written to persistent disk storage.

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