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PagerDuty MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect PagerDuty through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 PagerDuty, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 PagerDuty MCP Server

Connect your PagerDuty account to any AI agent and take full control of incident management operations through natural conversation.

The Vercel AI SDK gives every PagerDuty tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through 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 — List, create, acknowledge, and resolve incidents across all services
  • Service Monitoring — Browse all monitored services and inspect their configurations, integrations, and health status
  • User Management — List all team members, view individual profiles, contact methods, and notification rules
  • On-Call Visibility — See who is currently on-call across all schedules and escalation levels in real-time
  • Schedule Administration — Browse rotation schedules with their layers, handoff times, and coverage windows
  • Escalation Policies — Inspect escalation chains to understand how incidents route through teams

The PagerDuty MCP Server exposes 11 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 PagerDuty to Vercel AI SDK via MCP

Follow these steps to integrate the PagerDuty MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 11 tools from PagerDuty and passes them to the LLM

Why Use Vercel AI SDK with the PagerDuty MCP Server

Vercel AI SDK provides unique advantages when paired with PagerDuty through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same PagerDuty integration everywhere

03

Built-in streaming UI primitives let you display PagerDuty tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

PagerDuty + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the PagerDuty MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query PagerDuty in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate PagerDuty tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed PagerDuty capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with PagerDuty through natural language queries

PagerDuty MCP Tools for Vercel AI SDK (11)

These 11 tools become available when you connect PagerDuty to Vercel AI SDK via MCP:

01

create_incident

Requires the From header email (your PagerDuty user email), service ID, and incident title. Create a new incident on a service

02

get_incident

Get detailed information about a specific incident

03

get_service

Get detailed configuration of a specific service

04

get_user

Get detailed information about a specific user

05

list_escalation_policies

List all escalation policies

06

list_incidents

Optionally filter by status: triggered, acknowledged, resolved. List incidents across all services

07

list_oncalls

List who is currently on-call across all schedules

08

list_schedules

List all on-call schedules

09

list_services

List all monitored services

10

list_users

List all users in the PagerDuty account

11

update_incident

Use to acknowledge, resolve, or reassign incidents programatically. Update an incident status (acknowledge, resolve, escalate)

Example Prompts for PagerDuty in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with PagerDuty immediately.

01

"Show me all triggered incidents right now."

02

"Who is on-call for the Platform team right now?"

03

"Acknowledge incident P8K2LMN and show me the service details."

Troubleshooting PagerDuty MCP Server with Vercel AI SDK

Common issues when connecting PagerDuty to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

PagerDuty + Vercel AI SDK FAQ

Common questions about integrating PagerDuty MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect PagerDuty to Vercel AI SDK

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.