Ometria Intelligence MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Ometria Intelligence through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Ometria Intelligence Assistant",
instructions=(
"You help users interact with Ometria Intelligence. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Ometria Intelligence"
)
print(result.final_output)
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 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Ometria Intelligence through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Ometria Intelligence, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Ometria Intelligence MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Ometria Intelligence
Why Use OpenAI Agents SDK with the Ometria Intelligence MCP Server
OpenAI Agents SDK provides unique advantages when paired with Ometria Intelligence through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Ometria Intelligence + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Ometria Intelligence MCP Server delivers measurable value.
Automated workflows: build agents that query Ometria Intelligence, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Ometria Intelligence, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Ometria Intelligence tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Ometria Intelligence to resolve tickets, look up records, and update statuses without human intervention
Ometria Intelligence MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Ometria Intelligence to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Ometria Intelligence to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Ometria Intelligence + OpenAI Agents SDK FAQ
Common questions about integrating Ometria Intelligence MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Ometria Intelligence 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 Ometria Intelligence to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.