PagerDuty MCP Server
Official PagerDuty MCP server enabling AI agents to manage incidents, on-call schedules, services, and escalation policies — turning agents into active participants in incident response.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
HTTPS enforced. Read-only API keys available. Strong access control for multi-team environments.
⚡ Reliability
Best When
An AI agent needs to participate in incident response — triaging alerts, acknowledging pages, routing to the right person, or generating incident summaries.
Avoid When
You need metric collection, log aggregation, or deployment tracking — PagerDuty is incident management, not observability.
Use Cases
- • Creating and resolving incidents programmatically from agents
- • Querying on-call schedules to route issues to the right person
- • Listing and filtering active incidents by service or severity
- • Acknowledging and escalating incidents in automated workflows
- • Generating incident summaries and post-mortem data for agents
Not For
- • Real-time metric collection (use Prometheus/Datadog for that)
- • Teams without a PagerDuty subscription
- • Non-incident use cases like project management or deployment
Interface
Authentication
REST API key (user or account-level) for MCP server. OAuth 2.0 available for user-specific actions. API keys can be scoped to read-only for safe agent access.
Pricing
Requires active PagerDuty subscription. The MCP server itself is open source.
Agent Metadata
Known Gotchas
- ⚠ Rate limit is 960 req/min per account — shared across all API users, not per key
- ⚠ Incident IDs are alphanumeric strings (not integers) — easy to mix up in agent context
- ⚠ On-call schedule queries require knowing the schedule ID — discovery requires a separate call
- ⚠ Webhook payloads use a different schema than REST API responses — check type carefully
- ⚠ Resolving an incident requires it to be acknowledged first in some configurations
Alternatives
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Scores are editorial opinions as of 2026-03-06.