FireHydrant MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect FireHydrant through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"firehydrant": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "FireHydrant Agent",
instructions:
"You help users interact with FireHydrant " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with FireHydrant?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and FireHydrant tool infrastructure. Connect 12 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra 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 Mastra AI via MCP
Follow these steps to integrate the FireHydrant MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from FireHydrant via MCP
Why Use Mastra AI with the FireHydrant MCP Server
Mastra AI provides unique advantages when paired with FireHydrant through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add FireHydrant without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every FireHydrant tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
FireHydrant + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the FireHydrant MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query FireHydrant, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed FireHydrant as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query FireHydrant on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using FireHydrant tools alongside other MCP servers
FireHydrant MCP Tools for Mastra AI (12)
These 12 tools become available when you connect FireHydrant to Mastra 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 Mastra AI
Ready-to-use prompts you can give your Mastra 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 Mastra AI
Common issues when connecting FireHydrant to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFireHydrant + Mastra AI FAQ
Common questions about integrating FireHydrant MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.