FireHydrant MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect FireHydrant 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="FireHydrant Assistant",
instructions=(
"You help users interact with FireHydrant. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from FireHydrant"
)
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 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.
The OpenAI Agents SDK auto-discovers all 12 tools from FireHydrant through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries FireHydrant, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 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 FireHydrant to OpenAI Agents SDK via MCP
Follow these steps to integrate the FireHydrant 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 12 tools from FireHydrant
Why Use OpenAI Agents SDK with the FireHydrant MCP Server
OpenAI Agents SDK provides unique advantages when paired with FireHydrant 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
FireHydrant + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the FireHydrant MCP Server delivers measurable value.
Automated workflows: build agents that query FireHydrant, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries FireHydrant, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through FireHydrant tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query FireHydrant to resolve tickets, look up records, and update statuses without human intervention
FireHydrant MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect FireHydrant to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting FireHydrant to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
FireHydrant + OpenAI Agents SDK FAQ
Common questions about integrating FireHydrant 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 FireHydrant 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 FireHydrant to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
