Listrak MCP Server for Pydantic AI 7 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Listrak through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Listrak "
"(7 tools)."
),
)
result = await agent.run(
"What tools are available in Listrak?"
)
print(result.data)
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.
Pydantic AI validates every Listrak tool response against typed schemas, catching data inconsistencies at build time. Connect 7 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Listrak MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 7 tools from Listrak with type-safe schemas
Why Use Pydantic AI with the Listrak MCP Server
Pydantic AI provides unique advantages when paired with Listrak through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Listrak integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Listrak connection logic from agent behavior for testable, maintainable code
Listrak + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Listrak MCP Server delivers measurable value.
Type-safe data pipelines: query Listrak with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Listrak tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Listrak and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Listrak responses and write comprehensive agent tests
Listrak MCP Tools for Pydantic AI (7)
These 7 tools become available when you connect Listrak to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Listrak to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiListrak + Pydantic AI FAQ
Common questions about integrating Listrak MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
