Integrate PagerDuty with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate incident on PagerDuty
Requires the From header email (your PagerDuty user email), service ID, and incident title. Create a new incident on a service
Get incident on PagerDuty
Get detailed information about a specific incident
Get service on PagerDuty
Get detailed configuration of a specific service
Get user on PagerDuty
Get detailed information about a specific user
List escalation policies on PagerDuty
List all escalation policies
List incidents on PagerDuty
Optionally filter by status: triggered, acknowledged, resolved. List incidents across all services
List oncalls on PagerDuty
List who is currently on-call across all schedules
List schedules on PagerDuty
List all on-call schedules
List services on PagerDuty
List all monitored services
List users on PagerDuty
List all users in the PagerDuty account
Update incident on PagerDuty
Use to acknowledge, resolve, or reassign incidents programatically. Update an incident status (acknowledge, resolve, escalate)
Security & Code Integrity Audit
Every tool in the PagerDuty MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I create incidents programmatically for testing or escalation?
Absolutely. Use create_incident with your PagerDuty email, the target service ID, a descriptive title, and optionally set urgency to high or low. The incident will immediately trigger according to the service's escalation policy.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Triggering PagerDuty via Natural Language
Use PagerDuty with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
Execute incident management Commands with AI
The PagerDuty integration allows Cursor and ChatGPT to securely fetch incident management data. It handles the API requests required for industry titans operations.
Execute on call scheduling Commands with AI
The PagerDuty toolkit provides secure access to on call scheduling functions. It enables conversational agents to manage industry titans settings deterministically.
PagerDuty. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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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.
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