Can I acknowledge and resolve incidents directly from my AI agent?

Yes! Use the `update_incident` tool with the incident ID and your PagerDuty email. Set status to `acknowledged` or `resolved` to change the incident state instantly without opening the PagerDuty dashboard.

How do I find out who is on-call right now?

Run the `list_oncalls` tool. It returns every user currently on-call across all schedules and escalation levels, showing their name, escalation policy, and coverage window.

Can I create incidents programmatically for testing or escalation?

Absolutely. Use `create_incident` with your PagerDuty email, the target service ID, a descriptive title, and optionally set urgency to `high` or `low`. The incident will immediately trigger according to the service's escalation policy.

PagerDuty MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes

Name: PagerDuty
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect PagerDuty through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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 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="PagerDuty Assistant",
            instructions=(
                "You help users interact with PagerDuty. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from PagerDuty"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 PagerDuty MCP Server

Connect your PagerDuty account to any AI agent and take full control of incident management operations through natural conversation.

The OpenAI Agents SDK auto-discovers all 11 tools from PagerDuty through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries PagerDuty, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Incident Management — List, create, acknowledge, and resolve incidents across all services
Service Monitoring — Browse all monitored services and inspect their configurations, integrations, and health status
User Management — List all team members, view individual profiles, contact methods, and notification rules
On-Call Visibility — See who is currently on-call across all schedules and escalation levels in real-time
Schedule Administration — Browse rotation schedules with their layers, handoff times, and coverage windows
Escalation Policies — Inspect escalation chains to understand how incidents route through teams

The PagerDuty MCP Server exposes 11 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 PagerDuty to OpenAI Agents SDK via MCP

Follow these steps to integrate the PagerDuty 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 11 tools from PagerDuty

Why Use OpenAI Agents SDK with the PagerDuty MCP Server

OpenAI Agents SDK provides unique advantages when paired with PagerDuty 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

PagerDuty + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the PagerDuty MCP Server delivers measurable value.

Automated workflows: build agents that query PagerDuty, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries PagerDuty, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through PagerDuty tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query PagerDuty to resolve tickets, look up records, and update statuses without human intervention

PagerDuty MCP Tools for OpenAI Agents SDK (11)

These 11 tools become available when you connect PagerDuty to OpenAI Agents SDK via MCP:

create_incident

Requires the From header email (your PagerDuty user email), service ID, and incident title. Create a new incident on a service

get_incident

Get detailed information about a specific incident

get_service

Get detailed configuration of a specific service

get_user

Get detailed information about a specific user

list_escalation_policies

List all escalation policies

list_incidents

Optionally filter by status: triggered, acknowledged, resolved. List incidents across all services

list_oncalls

List who is currently on-call across all schedules

list_schedules

List all on-call schedules

list_services

List all monitored services

list_users

List all users in the PagerDuty account

update_incident

Use to acknowledge, resolve, or reassign incidents programatically. Update an incident status (acknowledge, resolve, escalate)

Example Prompts for PagerDuty in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with PagerDuty immediately.

"Show me all triggered incidents right now."

"Who is on-call for the Platform team right now?"

"Acknowledge incident P8K2LMN and show me the service details."

Troubleshooting PagerDuty MCP Server with OpenAI Agents SDK

Common issues when connecting PagerDuty to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

PagerDuty + OpenAI Agents SDK FAQ

Common questions about integrating PagerDuty MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.