Incident.io MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Incident.io through 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 Incident.io, 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 Incident.io MCP Server
Empower your AI agents to manage your incident response lifecycle with Incident.io. This MCP server allows you to list and retrieve incidents, manage roles and types, track custom fields, and view on-call schedules directly through the Incident.io API. Ideal for automating SRE workflows and incident coordination.
The Vercel AI SDK gives every Incident.io tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The Incident.io MCP Server exposes 10 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 Incident.io to Vercel AI SDK via MCP
Follow these steps to integrate the Incident.io 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 10 tools from Incident.io and passes them to the LLM
Why Use Vercel AI SDK with the Incident.io MCP Server
Vercel AI SDK provides unique advantages when paired with Incident.io 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 Incident.io integration everywhere
Built-in streaming UI primitives let you display Incident.io 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
Incident.io + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Incident.io MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Incident.io in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Incident.io tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Incident.io capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Incident.io through natural language queries
Incident.io MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Incident.io to Vercel AI SDK via MCP:
get_incident
Retrieves details for a specific incident
list_catalog_types
Lists all defined catalog types
list_custom_fields
Lists all defined custom fields
list_incident_roles
Lists all defined incident roles
list_incident_types
Lists all defined incident types
list_incidents
Lists all incidents
list_schedules
Lists all on-call schedules
list_severities
Lists all defined incident severities
list_teams
Lists all teams
list_users
Lists all users
Example Prompts for Incident.io in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Incident.io immediately.
"List all ongoing incidents in Incident.io."
"Show me the on-call schedules for this week."
"Check the details for incident ID 'abc-123'."
Troubleshooting Incident.io MCP Server with Vercel AI SDK
Common issues when connecting Incident.io to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpIncident.io + Vercel AI SDK FAQ
Common questions about integrating Incident.io 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 Incident.io 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 Incident.io to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.