Ortto (formerly Autopilot) MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Ortto (formerly Autopilot) 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 Ortto (formerly Autopilot) "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Ortto (formerly Autopilot)?"
)
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 Ortto (formerly Autopilot) MCP Server
Connect your Ortto account to any AI agent and unify your customer data and marketing automation workflows through natural conversation.
Pydantic AI validates every Ortto (formerly Autopilot) 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
- Unified Profiles — Create, update, and search for person and organizational account records across your CDP
- Activity Orchestration — Programmatically trigger custom activities to engage users based on real-time events
- Campaign Auditing — List audience segments and retrieve performance metrics for your marketing campaigns and journeys
- Regional Compliance — Native support for Global, AU, and EU data centers to ensure your data stays where it belongs
The Ortto (formerly Autopilot) 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 Ortto (formerly Autopilot) to Pydantic AI via MCP
Follow these steps to integrate the Ortto (formerly Autopilot) 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 Ortto (formerly Autopilot) with type-safe schemas
Why Use Pydantic AI with the Ortto (formerly Autopilot) MCP Server
Pydantic AI provides unique advantages when paired with Ortto (formerly Autopilot) 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 Ortto (formerly Autopilot) integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Ortto (formerly Autopilot) connection logic from agent behavior for testable, maintainable code
Ortto (formerly Autopilot) + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Ortto (formerly Autopilot) MCP Server delivers measurable value.
Type-safe data pipelines: query Ortto (formerly Autopilot) with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Ortto (formerly Autopilot) tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Ortto (formerly Autopilot) and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Ortto (formerly Autopilot) responses and write comprehensive agent tests
Ortto (formerly Autopilot) MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Ortto (formerly Autopilot) to Pydantic AI via MCP:
create_activity
Create a custom activity for a person
create_person
Add a new person to Ortto
delete_person
Permanently archive/delete a person
get_person
Get details for a specific person
get_subscription
Get subscription status for an email
list_accounts
List accounts/organizations in Ortto
list_audiences
List audience segments
list_campaigns
List marketing campaigns
list_people
List people in Ortto
update_person
Update an existing person
Example Prompts for Ortto (formerly Autopilot) in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Ortto (formerly Autopilot) immediately.
"Find the person profile for '[email protected]'."
"List all active marketing campaigns in our EU region."
"Trigger the 'product-demo-requested' activity for [email protected]"
Troubleshooting Ortto (formerly Autopilot) MCP Server with Pydantic AI
Common issues when connecting Ortto (formerly Autopilot) to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOrtto (formerly Autopilot) + Pydantic AI FAQ
Common questions about integrating Ortto (formerly Autopilot) 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 Ortto (formerly Autopilot) 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 Ortto (formerly Autopilot) to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.