MoonMail MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect MoonMail through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"moonmail": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using MoonMail, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with MoonMail through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the MoonMail MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from MoonMail via MCP
Why Use LangChain with the MoonMail MCP Server
LangChain provides unique advantages when paired with MoonMail through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine MoonMail MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across MoonMail queries for multi-turn workflows
MoonMail + LangChain Use Cases
Practical scenarios where LangChain combined with the MoonMail MCP Server delivers measurable value.
RAG with live data: combine MoonMail tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query MoonMail, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain MoonMail tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every MoonMail tool call, measure latency, and optimize your agent's performance
MoonMail MCP Tools for LangChain (10)
These 10 tools become available when you connect MoonMail to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting MoonMail to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMoonMail + LangChain FAQ
Common questions about integrating MoonMail MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect MoonMail 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 MoonMail to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.