Sold by: PagerDuty
AWS Free Tier
PagerDutys MCP integration connects AI agents and LLMs directly to PagerDuty, enabling developers to automate incident response, access real-time operational data, and accelerate resolution within their preferred tools.
4.5
Overview
PagerDutys MCP integration connects large language models and AI agents directly to PagerDuty, giving developers a first pane of glass for break and fix work. By centralizing access, teams can pull PagerDuty incident, oncall, and service data into their tool of choice, like AI powered IDEs, enabling seamless automation and response workflows. The integration uses standard APIs, so customers can connect PagerDuty to any AI toolkit or agent layer they spin up. With PagerDutys MCP, organizations can accelerate innovation and reduce operating costs through intelligent automation. Developers can work in their preferred environments, automate break and fix tasks, and reduce manual context switching, all while leveraging PagerDutys reliability and open API.
Highlights
- Operational intelligence at your fingertips to access trusted PagerDuty data to enable faster and better informed decisions.
- Accelerate resolution by simplifying how teams understand and respond to incidents, reducing time to action, and restoring service sooner. Automate with confidence to build on PagerDutys proven orchestration and automation capabilities to minimize manual effort and human error.
- Trusted by digital operations leaders to extend PagerDutys platform for intelligent, resilient operations, driving efficiency and reliability at scale.
Details
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Delivery method
Integration protocol
Type
Deployed on AWS
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
This listing has one pricing dimension: Free (default), billed at no cost. There are no tiers, instance sizes, or usage-based charges to compare. You get the product under a single free usage dimension with no commitment or metered add-ons. The server uses the Model Context Protocol (MCP) to connect AI-enabled tools to PagerDuty data and actions. Because only one dimension exists, pricing does not scale with users, events, or volume through this listing.
Top-of-mind questions for buyers
This listing is billed at no cost under a single free usage dimension. The MCP Server uses the Model Context Protocol to connect AI-enabled tools to PagerDuty data and actions. It is one of several ways to integrate, alongside email and API connections.
No. This listing has one free dimension with no metered charges. Your cost does not scale with users, events, or the number of tools you connect through the MCP Server. There are no tiers, usage thresholds, or overage points that could trigger a charge here.
It is a single free usage dimension with no upfront commitment and no term to sign. You are not billed hourly, annually, or per unit through this listing. Charges apply only if you separately purchase other PagerDuty offerings, which are not part of this listing.
www.pagerduty.com
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Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Delivery details
API-Based Agents & Tools
API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.
Additional details
Usage instructions
MCP
Available Tools This MCP server supports the following capabilities:
- Incident Management - Retrieve, create, and update incidents
- Service Management - View and manage services
- On-Call Schedules - Access and manage on-call schedule information
- Alert Routing - Configure and manage alert escalation policies
Prerequisites
- PagerDuty account with Advanced Permissions https://support.pagerduty.com/main/docs/advanced-permissions
- PagerDuty User API token https://support.pagerduty.com/main/docs/api-access-keys#generate-a-user-token-rest-api-key
- MCP-compatible AI assistant (Claude Desktop, VS Code, Cursor, or similar)
Authentication Replace YOUR_PAGERDUTY_API_TOKEN with your actual API token below. Claude Desktop Edit the configuration file at:
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json
Add the following:
json { "mcpServers": { "pagerduty-mcp": { "command": "npx", "args": [ "mcp-remote", "https://mcp.pagerduty.com/mcp ", "--header", "Authorization: Bearer YOUR_PAGERDUTY_API_TOKEN" ] } } }
EU Accounts: If your PagerDuty account is in the EU region, use https://mcp.eu.pagerduty.com/mcp instead.
VS Code / Cursor
Configure in your MCP settings:
json { "mcpServers": { "pagerduty-mcp": { "url": "https://mcp.pagerduty.com/mcp ", "disabled": false, "autoApprove": ["listIncidents", "getIncident", "listServices", "getSchedules"], "timeout": 30, "headers": { "Authorization": "Bearer YOUR_PAGERDUTY_API_TOKEN" } } } }
Rate Limits
- API rate limits follow PagerDuty REST API limits https://support.pagerduty.com/main/docs/rest-api-rate-limits
- Requests exceeding limits return HTTP 429 Too Many Requests
- Implement exponential backoff for rate limit handling
Learn More
- PagerDuty MCP Server Documentation https://support.pagerduty.com/main/docs/pagerduty-mcp-server
- PagerDuty API Documentation https://developer.pagerduty.com
https://developer.pagerduty.com/docs/mcp-tooling-remote-server
Support
Vendor support
Our team provides multiple resources for customers to find answers to questions and get help with our product. Users may browse our integration guides (pagerduty.com/integrations) to integrate with partner tools, our knowledge base (support.pagerduty.com) to learn more about using PagerDuty, and our developer docs (developer.pagerduty.com) to use our APIs. Additionally, anyone can interact with other PagerDuty users and PagerDuty employees via the PagerDuty Community (community.pagerduty.com). Our Support team is available during regular business hours around the globe, Monday through Friday, and can be contacted at: Email: support@pagerduty.com or via a ticket submitted at tickets.pagerduty.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Computer Software
PagerDuty organizes on-call schedules and incident alerts
Reviewed on Nov 05, 2026
Review provided by G2
What do you like best about the product?
Our monitoring stack hooks into the platform perfectly via native integrations. The mobile app performance is incredibly reliable, guaranteeing that our on-call engineers wake up for critical alerts without fail.
What do you dislike about the product?
Setting up complex escalation policies across global time zones exposes some frustrating UI / UX choices. The per-seat pricing also makes the ROI harder to justify as our department grows.
What problems is the product solving and how is that benefiting you?
It manages our incident dispatcher flows. The AI / Intelligence engine automatically groups redundant alerts together, and the solid support / onboarding materials got us running quickly.
Rowan D.
PagerDuty organizes on-call schedules and incident alerts
Reviewed on Nov 04, 2026
Review provided by G2
What do you like best about the product?
The integration ecosystem connects our monitoring stack directly to escalation policies. The mobile app performance ensures developers receive critical push notifications immediately during late-night outages.
What do you dislike about the product?
Configuring complex escalation rules across multiple time zones creates user interface friction. The per-user pricing model becomes expensive and limits our ROI as we scale the engineering department.
What problems is the product solving and how is that benefiting you?
It acts as our primary incident resolution dispatcher. Using the AI event intelligence groups noisy alerts together, which reduces alert fatigue and drops our mean time to acknowledge incidents significantly.
Thakur Anjali R.
Easy On-Call Rostering for 24/7 Response, with Room to Improve Alert Grouping
Reviewed on Nov 02, 2026
Review provided by G2
What do you like best about the product?
I like PagerDuty’s on-call rosters. They make it easy to manage my team when we need 24/7 or shift support. It’s easy and interactive to manage the team’s tasks and timings, and I can easily manage the week-off plan. The setup was very easy. I also use PagerDuty for emergency incident response when servers are unavailable outside working shifts or after office hours.
What do you dislike about the product?
I think the alert grouping needs some improvement, and I’d like PagerDuty to implement some AI automated operations.
What problems is the product solving and how is that benefiting you?
I use PagerDuty for emergency incident response when servers are unavailable outside working shifts or after office hours.
Nikhil K.
Centralized Incident Response, but Alert Noise Persists
Reviewed on Nov 02, 2026
Review provided by G2
What do you like best about the product?
I like how PagerDuty quickly notifies the right team when a critical alert comes in. It brings alerts from different monitoring sources into one place, making it easier for me to identify and prioritize important network issues. I also appreciate being able to see an incident’s status, who is handling it, and whether it’s resolved. The structured workflow helps me keep incidents visible and follow them through to resolution, which is useful in our 24/7 network operations environment. PagerDuty fits with our existing monitoring tools, and once setup was complete, day-to-day use was quite easy.
What do you dislike about the product?
I find that PagerDuty can generate too much alert noise when multiple alerts come from the same network issue. Better alert correlation and deduplication would help reduce unnecessary notifications. I’d also like more flexibility to configure notification preferences and incident workflows for different types of network incidents.
What problems is the product solving and how is that benefiting you?
PagerDuty helps us manage the large number of alerts in our network operations environment so critical incidents aren’t overlooked. It gives us a central place to receive and trace alerts, notify the right team, and follow incidents through resolution, supporting timely responses to production issues in our 24/7 environment.
Aftab .
Reliable Multi-Channel Alerting with Robust Integrations and Flexible On-Call Scheduling
Reviewed on Nov 02, 2026
Review provided by G2
What do you like best about the product?
Reliable Multi-Channel Alerting: Instant and dependable escalation across SMS, phone calls, push notifications, and email ensures critical alerts are never missed.
Robust Integrations: Seamless out-of-the-box integrations with monitoring tools (Datadog, AWS, New Relic) and collaboration platforms (Slack, Jira) streamline incident workflows.
Flexible Scheduling & Escalation: Easy-to-manage on-call rotations, automated overrides, and tiered escalation policies ensure the right engineer is reached quickly without burnout.
Effective Noise Reduction: Built-in Event Intelligence, grouping, and suppression features help filter out false positives and combat alert fatigue.
Robust Integrations: Seamless out-of-the-box integrations with monitoring tools (Datadog, AWS, New Relic) and collaboration platforms (Slack, Jira) streamline incident workflows.
Flexible Scheduling & Escalation: Easy-to-manage on-call rotations, automated overrides, and tiered escalation policies ensure the right engineer is reached quickly without burnout.
Effective Noise Reduction: Built-in Event Intelligence, grouping, and suppression features help filter out false positives and combat alert fatigue.
What do you dislike about the product?
High Cost & Pricing Model: Pricing can scale steeply as team sizes or the number of user licenses grow, making it expensive for smaller teams or organizations with many occasional on-call engineers.
Complex UI & Learning Curve: The dashboard and configuration settings (especially for advanced escalation policies and service dependencies) can feel unintuitive or cluttered for new users.
Alert Fatigue & Noise Management: While Event Intelligence helps, fine-tuning suppression and grouping rules requires significant initial effort to avoid overwhelming teams with redundant alerts.
Strict Licensing Tiers: Features like advanced automation, response plays, or custom analytics are often locked behind higher, more expensive pricing tiers.
Complex UI & Learning Curve: The dashboard and configuration settings (especially for advanced escalation policies and service dependencies) can feel unintuitive or cluttered for new users.
Alert Fatigue & Noise Management: While Event Intelligence helps, fine-tuning suppression and grouping rules requires significant initial effort to avoid overwhelming teams with redundant alerts.
Strict Licensing Tiers: Features like advanced automation, response plays, or custom analytics are often locked behind higher, more expensive pricing tiers.
What problems is the product solving and how is that benefiting you?
Eliminating Delayed Incident Response: Solves the problem of missed alerts or slow manual notification chains by instantly routing critical alerts to the right on-call engineer via phone, SMS, and push notifications, drastically reducing Mean Time to Acknowledgment (MTTA).
Preventing Team Burnout & Alert Fatigue: Solves chaotic 2 AM alarm storms through intelligent event grouping, suppression, and structured escalation policies—ensuring people only get woken up for actionable, high-priority issues.
Streamlining Cross-Tool Collaboration: Solves data silos by unifying alerts from disparate monitoring, logging, and CI/CD tools (like Datadog, AWS, and GitHub) into a single, cohesive timeline with direct links to incident chat channels and ticket trackers.
Minimizing Downtime & Revenue Loss: Solves prolonged system outages by providing clear visibility into system health, automated escalation workflows, and reliable on-call schedules, which directly protects uptime, customer trust, and revenue.
Preventing Team Burnout & Alert Fatigue: Solves chaotic 2 AM alarm storms through intelligent event grouping, suppression, and structured escalation policies—ensuring people only get woken up for actionable, high-priority issues.
Streamlining Cross-Tool Collaboration: Solves data silos by unifying alerts from disparate monitoring, logging, and CI/CD tools (like Datadog, AWS, and GitHub) into a single, cohesive timeline with direct links to incident chat channels and ticket trackers.
Minimizing Downtime & Revenue Loss: Solves prolonged system outages by providing clear visibility into system health, automated escalation workflows, and reliable on-call schedules, which directly protects uptime, customer trust, and revenue.