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Vinkius runs on OpenAI Agents SDK

How to Use the Pet Stress Score Analyzer MCP in OpenAI Agents SDK

Build deployed pet wellness agents with the OpenAI Agents SDK.

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Vinkius runs on OpenAI Agents SDK

Connect Pet Stress Score Analyzer MCP to OpenAI Agents SDK

Create your Vinkius account to connect Pet Stress Score Analyzer to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Key Capabilities

Score Pet Stress for Production Agents

The `calculate_stress_score` tool takes raw observational inputs and gives your agent an estimated stress score. This lets you move beyond simple guesswork; the output is a measurable number that dictates the next steps in your pet care workflow. When building complex agents, this capability means reliable guardrails. Your client can use the calculated score to decide if human review or immediate preventative action is needed before sending out recommendations.

Identify Environmental Triggers on Demand

Don't just treat symptoms; find the source. The agent uses `query_probable_triggers` to pinpoint specific environmental factors that are causing distress, like certain noises or times of day. This is critical for creating targeted intervention plans. For instance, if a pet shows signs of discomfort only when near a loud vacuum cleaner, this tool tells you exactly what triggered it, letting your agent write much more precise advice.

Write Actionable Pet Care Plans

The `generate_management_suggestions` function writes out concrete environmental modifications that owners can actually implement. It doesn't just say 'make it better'; it provides steps, like adding a specific type of enrichment toy or changing the feeding schedule. This is huge for your deployed product because the output isn't vague advice; it’s an immediate action list ready to be consumed by another agent in your workflow.

Setup guide

Set up Pet Stress Score Analyzer MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Pet Stress Score Analyzer tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Pet Stress Score Analyzer tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Pet Stress Score Analyzer tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Pet Stress Score Analyzer Agent",
            instructions="You have access to Pet Stress Score Analyzer tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Pet Stress Score Analyzer. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Pet Stress Score Analyzer MCP in OpenAI Agents SDK

The OpenAI Agents SDK allows you to pass the MCP tools directly into your running agent system. Your client automatically discovers the available functions, letting you write code that calls them as if they were local library methods.
You feed it observable behavioral signals. The agent calculates a score based on metrics like excessive licking, pacing frequency, or changes in sleep patterns observed by the owner.
By combining `calculate_stress_score` and `query_probable_triggers`, your agent can build a historical profile. It doesn't just give one number; it tracks patterns to show where the stress peaks and why.
Absolutely. You can chain tools, for example, running a score calculation, then querying triggers, and finally generating suggestions—all within one secure agent execution path.
The system uses ephemeral credential management. Your keys pass through a zero-trust proxy, meaning they are used only in transit and never stored on disk by this MCP.

Start using the Pet Stress Score Analyzer MCP today

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We've already built the connector for Pet Stress Score Analyzer. Just plug in your AI agents and start using Vinkius.

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