Opsgenie MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Opsgenie 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="Opsgenie Assistant",
instructions=(
"You help users interact with Opsgenie. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Opsgenie"
)
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 Opsgenie MCP Server
Connect your Opsgenie account to any AI agent and take full control of your incident response workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 11 tools from Opsgenie through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Opsgenie, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 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 Opsgenie to OpenAI Agents SDK via MCP
Follow these steps to integrate the Opsgenie 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 Opsgenie
Why Use OpenAI Agents SDK with the Opsgenie MCP Server
OpenAI Agents SDK provides unique advantages when paired with Opsgenie 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
Opsgenie + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Opsgenie MCP Server delivers measurable value.
Automated workflows: build agents that query Opsgenie, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Opsgenie, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Opsgenie tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Opsgenie to resolve tickets, look up records, and update statuses without human intervention
Opsgenie MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect Opsgenie to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Opsgenie to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Opsgenie + OpenAI Agents SDK FAQ
Common questions about integrating Opsgenie 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 Opsgenie 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 Opsgenie to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
