How do I send an SMS via the agent?

Use the `send_sms` tool and provide the recipient's phone number and the message body. Your agent will process the delivery through ActiveTrail's SMS gateway.

What are the API rate limits for ActiveTrail?

ActiveTrail endpoints limit excessively high request rates. It is recommended to use pagination tools for large datasets and consult the official API documentation for specific constraints.

Can I configure webhooks using the agent?

ActiveTrail refers to webhooks as 'Events'. While you can monitor campaign events, standard webhook setup needs to be done via the ActiveTrail integration settings panel.

ActiveTrail MCP Server for Pydantic AI 5 tools — connect in under 2 minutes

Name: ActiveTrail
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 5 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ActiveTrail through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 ActiveTrail "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ActiveTrail?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ActiveTrail MCP Server

Connect your ActiveTrail account to your AI agent to unlock professional email and SMS marketing capabilities. From creating detailed contact profiles to monitoring campaign performance and managing group segments, your agent handles your marketing ecosystem through natural conversation.

Pydantic AI validates every ActiveTrail tool response against typed schemas, catching data inconsistencies at build time. Connect 5 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

Contact Management — Create, update, and list contacts to maintain a healthy and engaged subscriber base
Campaign Monitoring — List active and past email or SMS campaigns and retrieve real-time performance statistics
Group Segmentation — Manage contact groups and segments to ensure your messages reach the right audience
SMS Automation — Send and track SMS messages directly from your chat interface for immediate customer outreach
Real-time Analytics — Quickly audit opens, clicks, and engagement patterns for your marketing efforts

The ActiveTrail MCP Server exposes 5 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 ActiveTrail to Pydantic AI via MCP

Follow these steps to integrate the ActiveTrail 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 5 tools from ActiveTrail with type-safe schemas

Why Use Pydantic AI with the ActiveTrail MCP Server

Pydantic AI provides unique advantages when paired with ActiveTrail 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 ActiveTrail integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your ActiveTrail connection logic from agent behavior for testable, maintainable code

ActiveTrail + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ActiveTrail MCP Server delivers measurable value.

Type-safe data pipelines: query ActiveTrail with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple ActiveTrail tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query ActiveTrail and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock ActiveTrail responses and write comprehensive agent tests

ActiveTrail MCP Tools for Pydantic AI (5)

These 5 tools become available when you connect ActiveTrail to Pydantic AI via MCP:

create_contact

Email is required. Add a new subscriber to the ActiveTrail system with email and personal details

list_campaigns

Retrieve a list of sent and draft email or SMS campaigns in ActiveTrail

list_contacts

Retrieve the full directory of subscribers from the ActiveTrail account

list_groups

Retrieve the list of segments and groups configured in the ActiveTrail account

send_sms

Requires the phone number and SMS body text. Send an immediate SMS text message notification via the ActiveTrail gateway

Example Prompts for ActiveTrail in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with ActiveTrail immediately.

"Show me the performance of my last email campaign."

Troubleshooting ActiveTrail MCP Server with Pydantic AI

Common issues when connecting ActiveTrail to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ActiveTrail + Pydantic AI FAQ

Common questions about integrating ActiveTrail MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your ActiveTrail MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.