How to Use the MoonMail MCP in LlamaIndex

Q: How do I configure MoonMail with LlamaIndex?

Install llama-index-tools-mcp and initialize the basic client with your Vinkius URL. Convert the server tools to a tool spec and pass them to your agent.

Q: Can LlamaIndex query old MoonMail campaigns?

Yes, the agent calls listcampaigns to pull historical email data. It then indexes that content so you can search past campaigns semantically.

Q: How does this MoonMail integration prevent AI hallucinations in LlamaIndex?

By pulling raw numbers via getcampaignstats, the agent relies on real-time data. It answers questions using actual metrics instead of making up statistics.

Q: Can I filter which tools LlamaIndex has access to?

Yes, you can use the allowedtools filter during setup. This lets you restrict the agent to read-only tools like listlists if you want to prevent accidental sends.

Q: Where does my campaign data go when LlamaIndex indexes MoonMail?

All campaign metrics passing through getevents are handled in memory within an ephemeral sandbox. Vinkius does not store your campaign body text or recipient logs.

Index MoonMail campaign metrics and subscriber data directly into LlamaIndex vector stores.

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Connect MoonMail MCP to LlamaIndex

Create your Vinkius account to connect MoonMail 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 MoonMail with LlamaIndex

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Search MoonMail history with LlamaIndex RAG

Your LlamaIndex agent uses `list_campaigns` to grab past email copy and indexes the text into a vector store. When you ask about past marketing strategies, the agent queries this index to find exactly what worked. This setup avoids hallucinations by grounding the LLM in actual campaign records. You retrieve real historical context instead of generic marketing advice.

Index subscriber lists using this MCP Server

This MCP Server exposes `list_subscribers` and `get_events` to build a queryable profile of your audience. The tool feeds subscriber activity directly into your retrieval pipeline. You can ask which segments are losing interest and get answers backed by raw event data. LlamaIndex uses these live metrics to update its semantic index in real time.

Group contacts based on live performance data

The agent calls `get_campaign_stats` to identify high-performing campaigns. It then runs `list_segments` and `list_campaign_recipients` to map which groups responded best to specific topics. This data feeds your RAG pipeline, allowing the agent to suggest precise targeting strategies. You base your marketing decisions on live API outputs rather than outdated spreadsheets.

Setup guide

Set up MoonMail 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 MoonMail 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 MoonMail tools.",
)
response = await agent.run("List recent MoonMail 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 MoonMail. 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 MoonMail MCP in LlamaIndex

Install `llama-index-tools-mcp` and initialize the basic client with your Vinkius URL. Convert the server tools to a tool spec and pass them to your agent.

Yes, the agent calls `list_campaigns` to pull historical email data. It then indexes that content so you can search past campaigns semantically.

By pulling raw numbers via `get_campaign_stats`, the agent relies on real-time data. It answers questions using actual metrics instead of making up statistics.

Yes, you can use the allowed_tools filter during setup. This lets you restrict the agent to read-only tools like `list_lists` if you want to prevent accidental sends.

All campaign metrics passing through `get_events` are handled in memory within an ephemeral sandbox. Vinkius does not store your campaign body text or recipient logs.

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