MoonMail MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add MoonMail 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 MoonMail. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in MoonMail?"
)
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 MoonMail MCP Server
Connect your MoonMail account to your AI agent and optimize your email marketing operations through natural conversation.
LlamaIndex agents combine MoonMail tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 Management — List all email campaigns, create new ones, and trigger delivery to your audience.
- Subscriber Growth — Access your subscriber lists, add new contacts, and manage audience segments.
- Engagement Insights — Monitor real-time performance metrics (opens, clicks) and tracking events for your campaigns.
- Recipients Tracking — Fetch the list of all individual recipients for specific campaign IDs.
- List Oversight — View all mailing lists and their current subscriber counts to stay organized.
The MoonMail MCP Server exposes 10 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 MoonMail to LlamaIndex via MCP
Follow these steps to integrate the MoonMail 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 10 tools from MoonMail
Why Use LlamaIndex with the MoonMail MCP Server
LlamaIndex provides unique advantages when paired with MoonMail through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine MoonMail tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain MoonMail tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query MoonMail, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what MoonMail tools were called, what data was returned, and how it influenced the final answer
MoonMail + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the MoonMail MCP Server delivers measurable value.
Hybrid search: combine MoonMail real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query MoonMail 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 MoonMail for fresh data
Analytical workflows: chain MoonMail queries with LlamaIndex's data connectors to build multi-source analytical reports
MoonMail MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect MoonMail to LlamaIndex via MCP:
add_subscriber
Add a subscriber to a list
create_campaign
Create a new email campaign
get_campaign_stats
Get campaign performance metrics
get_events
Get email analytics events
list_campaign_recipients
List recipients of a campaign
list_campaigns
List MoonMail campaigns
list_lists
List subscriber lists
list_segments
List audience segments
list_subscribers
List members of a list
send_campaign
Send an email campaign
Example Prompts for MoonMail in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with MoonMail immediately.
"List all my email campaigns and their status."
"How is my 'New Feature Announcement' campaign performing?"
"Add alex@example.com to the 'VIP Customers' list."
Troubleshooting MoonMail MCP Server with LlamaIndex
Common issues when connecting MoonMail to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMoonMail + LlamaIndex FAQ
Common questions about integrating MoonMail 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 MoonMail with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 MoonMail to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.