Incident.io MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Incident.io through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Incident.io "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Incident.io?"
)
print(result.data)
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.
Pydantic AI validates every Incident.io tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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.
The Incident.io MCP Server exposes 10 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 Incident.io to Pydantic AI via MCP
Follow these steps to integrate the Incident.io 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 10 tools from Incident.io with type-safe schemas
Why Use Pydantic AI with the Incident.io MCP Server
Pydantic AI provides unique advantages when paired with Incident.io 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 Incident.io integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Incident.io connection logic from agent behavior for testable, maintainable code
Incident.io + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Incident.io MCP Server delivers measurable value.
Type-safe data pipelines: query Incident.io with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Incident.io tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Incident.io and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Incident.io responses and write comprehensive agent tests
Incident.io MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Incident.io to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Incident.io to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiIncident.io + Pydantic AI FAQ
Common questions about integrating Incident.io MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.