How to Use the FireHydrant MCP in Mastra AI

Q: How does Mastra AI manage FireHydrant tool approval?

You can toggle requireToolApproval in your client config. This forces the agent to pause until a human confirms the updateincident call.

Q: Can I use Mastra AI to chain FireHydrant actions?

Absolutely. You build a workflow where the output of getincident informs the next step in your sequence, like calling addincidentnote.

Build resilient incident response workflows with Mastra AI and FireHydrant.

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Connect FireHydrant MCP to Mastra AI

Create your Vinkius account to connect FireHydrant to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup FireHydrant with Mastra AI

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Incident lifecycle control in Mastra AI

Create complex workflows that manage an incident from start to finish. You can chain `create_incident` with conditional logic to handle escalations automatically. If the initial attempt fails, your Mastra AI workflow can retry the operation. It keeps your response process reliable even when things get messy.

Automated team routing with Mastra AI

Use `list_teams` and `get_team` to identify the right responders for a specific service. Your Mastra AI agent can dynamically assign the correct people based on the incident type. This removes the manual guesswork. You get the right people on the call every time.

Retrospective automation in Mastra AI

Trigger a cleanup process after an incident is resolved. Your workflow can use `list_retrospectives` to gather data and prepare a draft for your team to review. It saves you hours of manual documentation. You get a head start on your post-mortem process.

Setup guide

Set up FireHydrant MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All FireHydrant tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "firehydrant-mcp-client",
  servers: {
    "firehydrant-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "FireHydrant Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to FireHydrant tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent FireHydrant transactions"
);
console.log(result.text);

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Common questions about FireHydrant MCP in Mastra AI

You can toggle `requireToolApproval` in your client config. This forces the agent to pause until a human confirms the `update_incident` call.

Absolutely. You build a workflow where the output of `get_incident` informs the next step in your sequence, like calling `add_incident_note`.

Mastra AI supports exponential backoff. You configure the retry policy in your agent workflow to ensure you stay within your FireHydrant limits.

Yes. The server exposes its tools in a format Mastra AI understands natively. You just spread them into your agent definition.

Your workflow environment uses ephemeral tokens to access FireHydrant. Only the specific incident data requested is ever processed by your agent.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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