How do I know which region to select?

If your Opsgenie URL ends in `.eu`, select the EU region. Otherwise, use the default US region. This ensures the agent calls the correct API endpoints for your account.

Can I acknowledge multiple alerts at once?

While the tools handle alerts individually, you can ask the AI agent to 'Acknowledge all open alerts with priority P1' and it will process them sequentially for you.

Does this support Major Incidents as well as Alerts?

Yes! Use the `create_incident` and `list_incidents` tools to manage higher-level response efforts beyond standard technical alerts.

Opsgenie MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: Opsgenie
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

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

    result = await agent.run(
        "What tools are available in Opsgenie?"
    )
    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 Opsgenie MCP Server

Connect your Opsgenie account to any AI agent and take full control of your incident response workflows through natural conversation.

Pydantic AI validates every Opsgenie tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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

Alert Management — Create, acknowledge, and close alerts. Add notes to the activity log to keep the team informed.
Incident Coordination — Create and track major incidents with priority levels to mobilize the right people quickly.
On-Call Visibility — Instantly check who is on-call for any schedule to route issues to the correct responder.
Schedule Overview — List all your on-call schedules and rotations to maintain a clear view of team availability.
Query & Audit — List alerts and incidents using powerful queries to audit past events or find active issues.

The Opsgenie MCP Server exposes 11 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 Opsgenie to Pydantic AI via MCP

Follow these steps to integrate the Opsgenie 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 11 tools from Opsgenie with type-safe schemas

Why Use Pydantic AI with the Opsgenie MCP Server

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

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

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

Opsgenie + Pydantic AI Use Cases

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

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

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

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

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

Opsgenie MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Opsgenie to Pydantic AI via MCP:

acknowledge_alert

Acknowledge an alert

add_note

Add a note to an alert

close_alert

Close an alert

create_alert

Create a new Opsgenie alert

create_incident

Create a new incident

get_alert

Get details for a specific alert

get_incident

Get details for a specific incident

get_who_is_on_call

Get current on-call users for a schedule

list_alerts

List Opsgenie alerts

list_incidents

List Opsgenie incidents

list_schedules

List all on-call schedules

Example Prompts for Opsgenie in Pydantic AI

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

"List all currently open P1 alerts."

"Acknowledge alert 4930 and add a note saying 'I am investigating the connection pool limits'."

"Who is currently on-call for the 'SRE-Primary' schedule?"

Troubleshooting Opsgenie MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Opsgenie + Pydantic AI FAQ

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