PagerDuty Joins Glean’s AI Ecosystem: Unlocking More Seamless Incident Management

Today, we announced that PagerDuty is now officially part of the Glean MCP Directory ! This partnership brings together two leaders in AI-powered productivity and operations, making it easier than ever for organizations to connect PagerDuty's incident data directly to any AI tool or agent in their stack through the standardized Model Context Protocol (MCP) . PagerDuty is the first (and currently only) incident management partner that is available via Glean's AI ecosystem.

PagerDuty's integration with Glean means you can now surface critical incident, service, and schedules information, take incident actions, and automate incident management workflows wherever your teams already work. This could be in chat, your favorite AI assistant, or a custom agent built for your business. It's about meeting teams where they are, breaking down silos, and unlocking the full value of your operational data.

If you authorize a connection between PagerDuty and Glean, teams can access 25+ PagerDuty operational tools using natural-language commands. This MCP Server concept has proven popular with PagerDuty customers, with over 250 adopting PagerDuty's local MCP server within the first month alone of availability. We anticipate this number to grow even more now that we've paired Glean with PagerDuty's MCP Server.

Three Game-Changing Use Cases for PagerDuty + Glean

Use Case 1: AI-Powered Incident Search and Summarization

As part of Glean's AI ecosystem directory, joint customers who have authorized the connection to PagerDuty will be able to ask the Glean Assistant, a custom AI agent, or any enterprise AI tool, "What's the status of our critical incidents this week?" or "Summarize the last five Sev1 outages" as well as other natural-language questions.

Glean's Enterprise Graph capability can tap directly into PagerDuty's incident data while automatically connecting related conversations from chat platforms, engineering documentation from knowledge systems, and customer reports from CRM tools. This allows it to pull comprehensive summaries, timelines, and responder actions with context from across the organization. For developer teams, this means faster context during incident response, less manual reporting, and more time spent solving interesting problems that drive real value.

Use Case 2: Automated Knowledge Capture and Post-incident Reviews

Post-incident reviews are critical for learning and improvement, but capturing all the right details can be a chore. With PagerDuty and Glean, joint customers will be able to improve how they automate the collection and organization of incident data, chat transcripts, and responder notes. Glean's Enterprise Graph, once authorized, can pull in PagerDuty's incident timelines while automatically correlating discussions from collaboration platforms, engineering runbooks from documentation systems, and customer impact data from support tools, organizing everything into a single, searchable knowledge base.

Use Case 3: AI Agents for Faster Resolution

The real magic happens when users connect PagerDuty's on-time signals to AI agents, whether built in Glean Assistant via MCP servers, or with Glean Agent support (coming soon). For example, users can ask the Glean Assistant to monitor PagerDuty for high-priority incidents, automatically pull in related documentation from across enterprise systems via Glean's context, and suggest next steps to responders in chat platforms. Or, an AI agent could proactively escalate issues, recommend remediations based on a company's historical patterns, and even trigger automated workflows so teams can focus on what matters most while AI handles the heavy lifting.

The Future of AI-First Operations is an Integrated One

PagerDuty's partnership with Glean represents our leadership in AI-powered incident management, as we help customers transform their approach to operational excellence. No matter where or how developer teams work, PagerDuty aims to make data and actions accessible for teams looking to move faster in this AI era. PagerDuty's MCP server is available as a one-click installation and PagerDuty is listed in several MCP directories specializing in verified MCP servers such as the official Model Context Protocol repository at GitHub, ensuring teams can access operational intelligence through their preferred AI environments.

We're excited to see what you'll build with these new capabilities.

Ready to unlock smarter incident management? The PagerDuty MCP Server is now live in Glean's MCP Directory and at our MCP Github repository