Listrak MCP Server for LangChain 7 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Listrak 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({
"listrak": {
"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 Listrak, 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 Listrak MCP Server
Connect your Listrak account to any AI agent to automate your cross-channel marketing and transactional messaging. This MCP server enables your agent to manage email and SMS campaigns, interact with contact profiles, and trigger immediate broadcasts directly from natural language interfaces using OAuth 2.0.
LangChain's ecosystem of 500+ components combines seamlessly with Listrak through native MCP adapters. Connect 7 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
- Email Campaign Management — List all active and historical email campaigns to monitor your marketing objectives
- SMS Engagement — List, create, and manage SMS contacts, and subscribe users to specific phone-based lists
- Transactional Messaging — Trigger pre-defined transactional emails instantly for order confirmations, alerts, or notifications
- Instant Broadcasts — Send immediate SMS broadcast messages to your audience using your configured sender codes
- Contact Insights — Retrieve detailed profile information for email contacts across your organizational lists
- Database Maintenance — Create new SMS profiles and manage cross-channel subscriptions effortlessly
The Listrak MCP Server exposes 7 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 Listrak to LangChain via MCP
Follow these steps to integrate the Listrak 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 7 tools from Listrak via MCP
Why Use LangChain with the Listrak MCP Server
LangChain provides unique advantages when paired with Listrak through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Listrak 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 Listrak queries for multi-turn workflows
Listrak + LangChain Use Cases
Practical scenarios where LangChain combined with the Listrak MCP Server delivers measurable value.
RAG with live data: combine Listrak tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Listrak, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Listrak tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Listrak tool call, measure latency, and optimize your agent's performance
Listrak MCP Tools for LangChain (7)
These 7 tools become available when you connect Listrak to LangChain via MCP:
create_sms_contact
Add a new SMS contact
get_email_contact_details
Get details for a specific email contact
list_email_campaigns
List all email campaigns
list_sms_contacts
List SMS contacts
send_sms_broadcast
Send an immediate SMS broadcast
send_transactional_email
Requires messageId and recipient data. Send a transactional email
subscribe_to_sms_list
Subscribe a contact to an SMS list
Example Prompts for Listrak in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Listrak immediately.
"List all my current email campaigns in Listrak."
"Send a transactional email (Message ID: '987') to 'user@example.com'."
"Subscribe the phone number '+15550199' to SMS list '555'."
Troubleshooting Listrak MCP Server with LangChain
Common issues when connecting Listrak to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersListrak + LangChain FAQ
Common questions about integrating Listrak 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 Listrak 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 Listrak to LangChain
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.