PagerDuty

Live

OAUTH 2.0

INCIDENT MANAGEMENT

Monitoring

Every on-call schedule, alert, and incident your engineering team manages lives in PagerDuty. PagerDuty MCP gives your agent authenticated access to incident data scoped to the user who authorized it.

  • Acts as the user: Access and write actions stay tied to the PagerDuty account that authorized the agent.
  • Credentials stay vaulted: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: Permissions enforced. 90-day audit trail.
PagerDuty
agent · Acme Q3
Run
What critical incidents are open right now and which services are affected?
S
pagerduty_incidents_list
61ms
Incident management agent
2 critical incidents open. payment-service (P1 #4201, 23 min, assigned K. Moore). auth-gateway (P1 #4198, 51 min, assigned J. Lee). Both acknowledged, pending resolution.
Sources: 2 P1 incidents, live
pagerdutymcp
2 incidents
18:29
Message Claude...

Tools your incident management agent reaches for on PagerDuty, scoped per user.

CALL ANY TOOL
List and create incidents, retrieve timelines, resolve alerts, check services, and see on-call schedules.
pagerduty_incidents_list
List incidents
List PagerDuty incidents filtered by status, urgency, and team.
Parameters
Name
Type
Required
Description
status
string
Optional
Filter: triggered, acknowledged, resolved
urgency
string
Optional
Filter: high, low
limit
integer
Optional
Max incidents to return
pagerduty_incident_get
Get incident
pagerduty_incident_create
Create incident
pagerduty_incident_resolve
Resolve incident
pagerduty_services_list
List services
pagerduty_oncalls_list
List on-call schedules
Build your Agent
Drop the toolkit in, point it at the user, and your incident management agent can use PagerDuty from the first run.
import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["pagerduty"], toolNames: ["pagerduty_incidents_list", "pagerduty_incident_get", "pagerduty_incident_create"] },
pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
name: t.tool.definition.name,
description: t.tool.definition.description,
schema: z.object({}).passthrough(),
func: async (args) => {
const { data } = await sk.tools.executeTool({
toolName: t.tool.definition.name,
identifier: "user_123",
params: args,
});
return JSON.stringify(data);
},
}));

const agent = createReactAgent({ llm, tools: lcTools });
import { ScalekitClient } from "@scalekit-sdk/node";
import OpenAI from "openai";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["pagerduty"], toolNames: ["pagerduty_incidents_list", "pagerduty_incident_get", "pagerduty_incident_create"] },
pageSize: 100,
});

const llmTools = tools.map((t) => ({
type: "function",
function: {
name: t.tool.definition.name,
description: t.tool.definition.description,
parameters: t.tool.definition.input_schema,
},
}));

const resp = await openai.responses.create({
model: "gpt-4o", input: prompt, tools: llmTools,
});
import { ScalekitClient } from "@scalekit-sdk/node";
import Anthropic from "@anthropic-ai/sdk";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["pagerduty"], toolNames: ["pagerduty_incidents_list", "pagerduty_incident_get", "pagerduty_incident_create"] },
pageSize: 100,
});

const llmTools = tools.map((t) => ({
name: t.tool.definition.name,
description: t.tool.definition.description,
input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
model: "claude-sonnet-4-6", max_tokens: 1024,
tools: llmTools,
messages: [{ role: "user", content: prompt }],
});
import { Agent } from "@google/adk/agents";
import {
MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
connectionParams: new StreamableHTTPConnectionParams({
url: "https://mcp.scalekit.com/pagerduty",
headers: { Authorization: `Bearer ${userScopedToken}` },
}),
});

const agent = new Agent({
name: "agent", model: "gemini-2.0-flash",
tools: await toolset.getTools(),
});
Try these prompts
Paste any prompt into your agent to start using PagerDuty.
Incidents & alerts
Copy the prompt
Copied
List all open P1 incidents right now.
Copy the prompt
Copied
Get full timeline for incident [id].
Copy the prompt
Copied
Which incidents have been open for over 1 hour?
Copy the prompt
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Resolve incident [id] with note: [text].
Services & on-call
Copy the prompt
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Which services have open incidents?
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Who is on call for [service] right now?
Copy the prompt
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List all escalation policies for [team].
Copy the prompt
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Get all services with high-urgency alerts.
Reporting
Copy the prompt
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How many P1 incidents occurred this week?
Copy the prompt
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Average resolution time for [service] last month.
Copy the prompt
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List incidents resolved in under 30 minutes.
Copy the prompt
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Which service has the most incidents this quarter?
SEE HOW AUTH WORKS
Users authorize PagerDuty once. Their credentials stay vaulted, every call is checked, and every action is logged.
1
Authorize
Your user connects
PagerDuty
once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access
Who:
user ‘A’
when:
Once per user
access:
Limited to user
2
Store
Their
PagerDuty
token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection
vault:
encrypted
scope:
per-user
tokens:
auto-refreshed
3
Resolve
When your agent calls a
PagerDuty
tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs
speed:
~40ms
check:
before every call
seen by:
nobody
4
Audit
Every
PagerDuty
tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it
history:
90 days
export:
SIEM-ready
logged:
every call
Test other agents
Same per-user auth pattern across other incident management agents and MCP connectors. Working code, live demos, fork what fits.
ENGINEERING
DevOps assistant agent
Triage GitHub incidents, open Linear tickets, and notify the on-call channel in Slack with context already attached.
ENGINEERING
Engineering standup agent
Aggregate GitHub and GitLab activity, link to Jira, and post a daily standup digest to Slack. No async updates.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
Other connector libraries treat auth as a demo afterthought. Scalekit starts with user identity, scope enforcement, and audit.
01.
Shared tokens break per-user analytics
A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential so attribution, audit, and scope stay accurate.
// shared token
 audit → bot_service_account
 user_filter → broken

 // scalekit
 audit → user_abc
 scope → enforced ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
PagerDuty today. Others tomorrow.
“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”
Venu Madhav Kattagoni
Head of Engineering / Von
FAQs
Frequently Asked Questions
Does the agent access PagerDuty as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.
Where is the PagerDuty oauth 2.0 stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.
Can I limit what the agent is allowed to do in PagerDuty?
Yes. Pass a tool name filter to listScopedTools so the incident management agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches PagerDuty.
What happens when a user revokes PagerDuty access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.
Can the agent page a team or trigger escalations?
Only if the authorizing user has PagerDuty permissions to escalate. Responders can acknowledge and resolve; managers can create and escalate. PagerDuty role-based permissions apply to every agent call.
Start in your coding agent
Up and running in one command
Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up
Claude Code REPL
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""pagerduty"": {
""url"": ""https://mcp.scalekit.com/pagerduty"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.pagerduty]
url = ""https://mcp.scalekit.com/pagerduty""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""pagerduty"": {
""url"": ""https://mcp.scalekit.com/pagerduty"",
""type"": ""http""
}
}
}