How do I get an Ometria API Key?

You can generate an API key in the Ometria settings dashboard under the API tab. This key should be used for the `X-Ometria-Auth` header.

Can I see customer lifetime value (LTV)?

Yes! Use the `get_contact_details` tool with a specific contact ID to retrieve their full profile, which includes segment associations and calculated lifetime metrics.

Does this support real-time campaign stats?

Yes, the `get_campaign_stats` tool retrieves current engagement metrics directly from Ometria for any specific campaign ID.

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

Name: Ometria Intelligence
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 Ometria Intelligence 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 Ometria Intelligence "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 Ometria Intelligence MCP Server

Connect your Ometria account to your AI agent and gain deep visibility into your customer life cycle and retail marketing performance through natural conversation.

Pydantic AI validates every Ometria Intelligence 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

Customer Oversight — List and inspect customer profiles, including their attributes, segments, and lifetime value.
Order Tracking — Access recent customer orders and transactions, including full metadata and status updates.
Product Intelligence — View your entire product catalog and check specific item metadata and stock statuses.
Segment Analysis — List audience segments defined in Ometria and retrieve member counts for targeting.
Campaign Performance — Monitor email and automation campaigns and fetch real-time engagement statistics.
Transactional Monitoring — View recent customer interactions and goal completions across your marketing funnel.
Deep Inspection — Fetch complete metadata for specific contacts, orders, or campaigns using their unique IDs.

The Ometria Intelligence 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 Ometria Intelligence to Pydantic AI via MCP

Follow these steps to integrate the Ometria Intelligence 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 Ometria Intelligence with type-safe schemas

Why Use Pydantic AI with the Ometria Intelligence MCP Server

Pydantic AI provides unique advantages when paired with Ometria Intelligence 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 Ometria Intelligence integration code

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

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

Ometria Intelligence + Pydantic AI Use Cases

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

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

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

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

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

Ometria Intelligence MCP Tools for Pydantic AI (10)

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

get_campaign_stats

Get campaign performance stats

get_contact_details

Get specific contact info

get_order_details

Get specific order details

get_product_details

Get specific product info

get_segment_details

Get specific segment info

list_catalog_products

List product catalog

list_contacts

List customer contacts

list_customer_segments

List customer segments

list_marketing_campaigns

List marketing campaigns

list_orders

List customer orders

Example Prompts for Ometria Intelligence in Pydantic AI

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

"List all active marketing campaigns."

"What is the status of order ID 'ord_98765'?"

"Show me the details for the 'High LTV' segment."

Troubleshooting Ometria Intelligence MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Ometria Intelligence + Pydantic AI FAQ

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