Incident.io 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 Incident.io 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="Incident.io Assistant",
instructions=(
"You help users interact with Incident.io. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Incident.io"
)
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 Incident.io MCP Server
Empower your AI agents to manage your incident response lifecycle with Incident.io. This MCP server allows you to list and retrieve incidents, manage roles and types, track custom fields, and view on-call schedules directly through the Incident.io API. Ideal for automating SRE workflows and incident coordination.
The OpenAI Agents SDK auto-discovers all 10 tools from Incident.io through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Incident.io, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The Incident.io 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 Incident.io to OpenAI Agents SDK via MCP
Follow these steps to integrate the Incident.io 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 Incident.io
Why Use OpenAI Agents SDK with the Incident.io MCP Server
OpenAI Agents SDK provides unique advantages when paired with Incident.io 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
Incident.io + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Incident.io MCP Server delivers measurable value.
Automated workflows: build agents that query Incident.io, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Incident.io, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Incident.io tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Incident.io to resolve tickets, look up records, and update statuses without human intervention
Incident.io MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Incident.io to OpenAI Agents SDK via MCP:
get_incident
Retrieves details for a specific incident
list_catalog_types
Lists all defined catalog types
list_custom_fields
Lists all defined custom fields
list_incident_roles
Lists all defined incident roles
list_incident_types
Lists all defined incident types
list_incidents
Lists all incidents
list_schedules
Lists all on-call schedules
list_severities
Lists all defined incident severities
list_teams
Lists all teams
list_users
Lists all users
Example Prompts for Incident.io in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Incident.io immediately.
"List all ongoing incidents in Incident.io."
"Show me the on-call schedules for this week."
"Check the details for incident ID 'abc-123'."
Troubleshooting Incident.io MCP Server with OpenAI Agents SDK
Common issues when connecting Incident.io to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Incident.io + OpenAI Agents SDK FAQ
Common questions about integrating Incident.io 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 Incident.io 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 Incident.io to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.