How do I declare a new incident using the agent?

You can use the 'create_incident' tool. Simply provide a name and optionally a summary and severity level. The agent will trigger the declaration in FireHydrant and return the new incident details.

Can I see recent infrastructure changes using this server?

Yes! The 'list_change_events' tool retrieves a history of recent changes. This is extremely useful for identifying potential root causes during an active incident investigation.

How do I add a status update to an ongoing incident?

Use the 'add_incident_note' tool. You'll need the Incident ID and the text of your update. The note will be immediately posted to the incident's timeline for all responders to see.

FireHydrant MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: FireHydrant
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

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

    result = await agent.run(
        "What tools are available in FireHydrant?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 FireHydrant MCP Server

Connect your FireHydrant account to any AI agent and automate your incident management workflows through the Model Context Protocol (MCP). FireHydrant provides a comprehensive platform for declaring incidents, managing service catalogs, and coordinating team responses. Now, you can manage your site reliability and incident response directly through natural conversation.

Pydantic AI validates every FireHydrant tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

Incident Management — Declare new incidents, list active ones, and update milestones or fields instantly.
Service Catalog — Access and list all defined services to understand impact and dependencies during an outage.
Team Coordination — List and manage responder teams to ensure the right people are assigned to every incident.
Timeline Updates — Post notes and status updates directly to an incident's timeline from your chat interface.
Runbook Execution — List active runbooks to understand the automated workflows available for your response.
Post-Incident Analysis — Retrieve retrospectives and post-incident reviews to facilitate learning and improvement.
Change Tracking — List change events to identify recent infrastructure or code changes that might have triggered an incident.

The FireHydrant MCP Server exposes 12 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 FireHydrant to Pydantic AI via MCP

Follow these steps to integrate the FireHydrant 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 12 tools from FireHydrant with type-safe schemas

Why Use Pydantic AI with the FireHydrant MCP Server

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

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

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

FireHydrant + Pydantic AI Use Cases

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

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

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

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

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

FireHydrant MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect FireHydrant to Pydantic AI via MCP:

add_incident_note

Add note to incident

create_incident

Create a new incident

get_incident

Get incident details

get_service

Get service details

get_team

Get team details

list_change_events

List change events

list_incidents

List incidents

list_retrospectives

List retrospectives

list_runbooks

List active runbooks

list_services

List service catalog

list_teams

List responder teams

update_incident

Update an incident

Example Prompts for FireHydrant in Pydantic AI

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

"List all currently active incidents in FireHydrant."

"Declare a new sev-2 incident: 'Redis Connection Spikes'."

"Add a note to incident 'inc_123': 'Investigating potential cache invalidation issue'."

Troubleshooting FireHydrant MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

FireHydrant + Pydantic AI FAQ

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