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Google ADKSDK
Google ADK
PagerDuty Incident Trigger MCP Server

Bring Incident Response
to Google ADK

Learn how to connect PagerDuty Incident Trigger to Google ADK and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

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Trigger Pagerduty Incident

Compatible with every major AI agent and IDE

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PagerDuty Incident Trigger

What is the PagerDuty Incident Trigger MCP Server?

We refused to build a bloated incident management integration that attempts to manage on-call schedules, resolve tickets, or query PagerDuty REST APIs. Instead, this MCP server provides a surgical, zero-trust bridge: just triggering incidents via the Events API V2.

Your AI agent gains the immediate, zero-friction ability to evaluate anomalies and instantly escalate critical issues directly to the on-call engineer's phone.

The Superpowers

  • Instant Escalation: Give your agent the authority to declare a 'Critical' state. The agent provides a summary, source, and severity, and PagerDuty handles the paging.
  • Zero-Bloat Integration: No massive SDKs or complex OAuth flows. Just a single Integration Key (Routing Key) is required to push events.
  • Absolute Containment: Because this uses the one-way Events API V2, the agent cannot read your incident history, cannot modify on-call schedules, and cannot snoop on resolving engineers. It is the purest, safest way to give your AI paging superpowers.

Built-in capabilities (1)

trigger_pagerduty_incident

Provide a clear summary, the source of the issue, and an optional severity level ("critical", "error", "warning", "info"). Defaults to critical. Trigger an incident in PagerDuty using the Events API V2

Why Google ADK?

Google ADK natively supports PagerDuty Incident Trigger as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

  • Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

  • Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with PagerDuty Incident Trigger

  • Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

  • Seamless integration with Google Cloud services means you can combine PagerDuty Incident Trigger tools with BigQuery, Vertex AI, and Cloud Functions

G
See it in action

PagerDuty Incident Trigger in Google ADK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

PagerDuty Incident Trigger and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect PagerDuty Incident Trigger to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for PagerDuty Incident Trigger in Google ADK

The PagerDuty Incident Trigger 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. All 1 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

PagerDuty Incident Trigger
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures PagerDuty Incident Trigger for Google ADK

Every tool call from Google ADK to the PagerDuty Incident Trigger MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can the agent resolve PagerDuty incidents with this?

No. This MCP exclusively uses the 'trigger' event action. It cannot resolve or acknowledge incidents. Its sole purpose is to wake up human operators when it detects a critical anomaly.

02

How do I get a PagerDuty Integration Key?

In PagerDuty, go to Services > Service Directory. Select your service, go to the Integrations tab, and add a new 'Events API V2' integration. Copy the resulting Integration Key.

03

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

04

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

05

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

06

McpToolset not found

Update: pip install --upgrade google-adk

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