Where do I find my App ID and API Key?

In Ontraport, go to **Administration** > **Integrations** > **Ontraport API Instructions and Key Manager**. Create a new key to get both the App ID and the API Key.

Can I target custom objects with these tools?

Currently, these tools are optimized for core objects like Contacts (0), Tasks (1), and Sequences (5). Support for other custom objects can be added by specifying their respective Object IDs in future updates.

Does this support creating new contacts?

Yes! Use the `create_contact` action. You can provide an email address along with optional first and last names to add a new person to your Ontraport CRM.

Ontraport MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Ontraport
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Ontraport 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 Ontraport "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

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 Ontraport MCP Server

Connect your Ontraport account to any AI agent and take full control of your business automation workflows through natural conversation.

Pydantic AI validates every Ontraport tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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 — List, retrieve, and create contacts to maintain your CRM data effortlessly.
Campaign & Sequence Tracking — List marketing campaigns and automation sequences to oversee your customer journeys.
Sales Monitoring — List transactions and track sales performance in real-time.
Content Oversight — List landing pages, forms, and messages to maintain a bird's-eye view of your marketing assets.
Task Management — List assigned tasks to stay on top of your team's operational needs.

The Ontraport MCP Server exposes 10 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 Ontraport to Pydantic AI via MCP

Follow these steps to integrate the Ontraport 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 10 tools from Ontraport with type-safe schemas

Why Use Pydantic AI with the Ontraport MCP Server

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

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

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

Ontraport + Pydantic AI Use Cases

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

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

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

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

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

Ontraport MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Ontraport to Pydantic AI via MCP:

create_contact

Create a new contact

get_contact

Get details for a specific contact

list_campaigns

List marketing campaigns

list_contacts

List Ontraport contacts

list_forms

List lead capture forms

list_landing_pages

List Ontraport landing pages

list_messages

List email/SMS messages

list_sequences

List automation sequences

list_tasks

List assigned tasks

list_transactions

List sales transactions

Example Prompts for Ontraport in Pydantic AI

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

"List the last 5 contacts added to my Ontraport account."

"Check the status of my active marketing campaigns."

"List all sales transactions from today."

Troubleshooting Ontraport MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Ontraport + Pydantic AI FAQ

Common questions about integrating Ontraport 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 Ontraport MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.