PagerDuty MCP server: manage incidents, services, schedules, event orchestrations, teams, status pages, and more from MCP clients. Read and write tools (use --enable-write-tools for write). Cursor, VS Code, Claude Desktop. Docker available.
PagerDuty is a monitoring and observability platform that pagerduty mcp server: manage incidents, services, schedules, event orchestrations, teams, status pages, and more from mcp clients. read and write powerful tools (use --enable-write-tools for write). cursor, vs code, claude desktop. docker available.. The official PagerDuty MCP server enables AI agents to seamlessly interact with PagerDuty's platform, allowing developers to leverage AI capabilities within their existing workflows and automate complex tasks that would otherwise require manual intervention.
This official MCP server is maintained and verified by PagerDuty, ensuring reliability, security, and up-to-date functionality. Unlike community-maintained servers, this official integration provides long-term support, comprehensive documentation, and direct vendor assistance. The server is hosted on pagerduty.com, guaranteeing secure and reliable access to PagerDuty's services.
Whether you're building AI-powered applications, automating workflows, or enhancing your development tools, the PagerDuty MCP server provides a standardized way to connect AI agents with PagerDuty's extensive platform capabilities. This integration enables natural language interactions with PagerDuty, making it easier than ever to leverage PagerDuty's features through AI assistants like Claude, ChatGPT, and Cursor.
Run via uvx pagerduty-mcp (stdio). Auth: PAGERDUTY_USER_API_KEY.Go to Settings → Cursor Settings
Click "Add new global MCP Server"
Paste the MCP configuration into mcp.json and restart
Or manually add to your mcp.json:
{
"mcpServers": {
"pagerduty": {
"url": "Run via uvx pagerduty-mcp (stdio). Auth: PAGERDUTY_USER_API_KEY."
}
}
}The official PagerDuty MCP server enables AI agents to:
These capabilities make it easy for AI agents to work with PagerDuty as part of a larger automation strategy, enabling seamless integration between AI assistants and your existing tools.
The PagerDuty MCP server provides 33 tools for AI agents to interact with the platform. Use the search below to find specific tools.
| Tool Name | Description |
|---|---|
add_note_to_incident | Add note to an incident (write) |
add_responders | Add responders to an incident (write) |
create_alert_grouping_setting | Create a new alert grouping setting (write) |
create_incident | Create a new incident (write) |
create_schedule_override | Create an override for a schedule (write) |
delete_alert_grouping_setting | Delete an alert grouping setting (write) |
get_alert_grouping_setting | Retrieve a specific alert grouping setting |
get_change_event | Retrieve a specific change event |
get_escalation_policy | Retrieve a specific escalation policy |
get_event_orchestration | Retrieve a specific event orchestration |
get_incident | Retrieve a specific incident |
get_schedule | Retrieve a specific schedule |
get_service | Retrieve a specific service |
get_status_page_post | Retrieve details of a status page post |
get_team | Retrieve a specific team |
get_user_data | Get the current user's data |
list_alert_grouping_settings | List alert grouping settings with filtering |
list_alerts_from_incident | List all alerts for a specific incident |
list_change_events | List change events with optional filtering |
list_escalation_policies | List escalation policies |
list_event_orchestrations | List event orchestrations with optional filtering |
list_incident_change_events | List change events for a specific incident |
list_incidents | List incidents |
list_log_entries | List log entries across the account with time filtering |
list_oncalls | List on-call schedules |
list_schedules | List schedules |
list_service_change_events | List change events for a specific service |
list_services | List services |
list_status_pages | List status pages with optional filtering |
list_teams | List teams |
list_users | List users in the PagerDuty account |
manage_incidents | Update incident status, urgency, assignment (write) |
update_alert_grouping_setting | Update an existing alert grouping setting (write) |
Last updated: March 13, 2026 at 12:00 PM
AI agents can use the PagerDuty MCP server to automate repetitive tasks and manage workflows within PagerDuty's platform.
The MCP server allows AI agents to query and retrieve data from PagerDuty, enabling intelligent data analysis and insights.
Developers can integrate PagerDuty capabilities directly into their AI coding assistants for seamless workflows.
Visit https://pagerduty.com, create an account, and generate an API key from your dashboard. Most tools offer a free tier to get started, making it easy to begin using the PagerDuty MCP server.
Yes, this MCP server is officially provided and maintained by PagerDuty. The endpoint Run via uvx pagerduty-mcp (stdio). Auth: PAGERDUTY_USER_API_KEY. is hosted on their official domain pagerduty.com, ensuring reliability and security.
The PagerDuty MCP server requires appropriate API credentials and permissions based on the operations you want to perform. Check the documentation for specific permission requirements.
Yes, you can configure the same MCP server across Cursor, Claude Desktop, Cline, and other MCP-compatible clients simultaneously. Each client maintains its own configuration.
The MCP server itself is free to use, but you may need a PagerDuty account and API access, which may have its own pricing tiers. Check https://pagerduty.com for current pricing information.
The PagerDuty MCP server enables AI agents to monitor applications and track errors. PagerDuty MCP server: manage incidents, services, schedules, event orchestrations, teams, status pages, and more from MCP clients. Read and write tools (use --enable-write-tools for write). Cursor, VS Code, Claude Desktop. Docker available. This allows you to interact with PagerDuty's platform through natural language commands in your AI assistant.
Ensure your API key is correctly configured and your network allows outbound connections to pagerduty.com. Verify that the MCP endpoint URL Run via uvx pagerduty-mcp (stdio). Auth: PAGERDUTY_USER_API_KEY. is accessible from your network.
Verify your API key is valid and has not expired. Generate a new key from https://pagerduty.com if needed. Make sure you're using the correct authentication method as specified in the documentation.
Check PagerDuty's status page for any ongoing incidents. Try restarting your MCP client and verify that the server endpoint is correct. If issues persist, consult the official documentation or support channels.
Explore other official MCP servers that work well with PagerDuty:
The Model Context Protocol (MCP) is an open standard that enables AI models to securely connect to external APIs, tools, and data sources. This official MCP server from PagerDuty provides standardized access to their services, allowing AI agents to interact with PagerDuty's platform seamlessly.
To manage all your MCP servers in one place, use Apigene's MCP Gateway, which provides centralized management, security, and governance for all your MCP server connections.
Learn more about MCP in our complete guide or browse our FAQ for common questions.
Domain
pagerduty.com
Website
https://pagerduty.comMCP Endpoint
Run via uvx pagerduty-mcp (stdio). Auth: PAGERDUTY_USER_API_KEY.