Smaily MCP Server for LangChainGive LangChain instant access to 11 tools to Create Subscriber, Delete Subscriber, Get Automation, and more
LangChain is the leading Python framework for composable LLM applications. Connect Smaily 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 App Connector for LangChain
The Smaily app connector for LangChain is a standout in the Marketing Automation category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"smaily": {
"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 Smaily, 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 Smaily MCP Server
Connect your Smaily account to any AI agent and simplify your email marketing and automation workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Smaily through native MCP adapters. Connect 11 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
- Subscriber Management — List all contacts in your database, retrieve detailed profile metadata, and create new subscribers programmatically
- Campaign Control — Query past and scheduled email campaigns to monitor your marketing outreach
- Automation & Autoresponders — List configured automated workflows and trigger specific autoresponder emails directly from your agent
- Template catalog — Query available email templates to choose the right look for your messages
- Operational tracking — Stay on top of your marketing performance and subscriber engagement
The Smaily MCP Server exposes 11 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.
All 11 Smaily tools available for LangChain
When LangChain connects to Smaily through Vinkius, your AI agent gets direct access to every tool listed below — spanning subscriber-management, campaign-tracking, email-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a new subscriber
Remove a subscriber
Get details for an automation workflow
Get details for a specific campaign
Get details for a specific subscriber
Get details for an email template
List automated responders
List email campaigns
List message templates
List Smaily subscribers
Trigger an automation email
Connect Smaily to LangChain via MCP
Follow these steps to wire Smaily into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Smaily MCP Server
LangChain provides unique advantages when paired with Smaily through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Smaily 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 Smaily queries for multi-turn workflows
Smaily + LangChain Use Cases
Practical scenarios where LangChain combined with the Smaily MCP Server delivers measurable value.
RAG with live data: combine Smaily tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Smaily, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Smaily tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Smaily tool call, measure latency, and optimize your agent's performance
Example Prompts for Smaily in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Smaily immediately.
"List all subscribers in Smaily."
"Show me the campaign performance for all email campaigns sent this quarter with engagement trends."
"Create a new subscriber and add them to the VIP customer automation workflow."
Troubleshooting Smaily MCP Server with LangChain
Common issues when connecting Smaily to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSmaily + LangChain FAQ
Common questions about integrating Smaily 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.