FireHydrant MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect FireHydrant through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using FireHydrant, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every FireHydrant tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the FireHydrant MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from FireHydrant and passes them to the LLM
Why Use Vercel AI SDK with the FireHydrant MCP Server
Vercel AI SDK provides unique advantages when paired with FireHydrant through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same FireHydrant integration everywhere
Built-in streaming UI primitives let you display FireHydrant tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
FireHydrant + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the FireHydrant MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query FireHydrant in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate FireHydrant tools and return structured JSON responses to any frontend
Chatbots with tool use: embed FireHydrant capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with FireHydrant through natural language queries
FireHydrant MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect FireHydrant to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting FireHydrant to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFireHydrant + Vercel AI SDK FAQ
Common questions about integrating FireHydrant MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.