Rootly’s MCP Server is seeing strong adoption across the AI and SRE communities, with nearly 10,000 downloads per month. Today we’re excited to announce it is now generally available, enabling AI assistants and agents to interact directly with your Rootly environment.
Using MCP-compatible tools, teams can query incidents and alerts, automate response workflows, configure platform resources like schedules and workflows, and build AI-driven investigation and remediation workflows.
Why it matters
AI tools are increasingly part of the SRE toolkit, but historically they lacked direct access to live operational systems. The Rootly MCP Server closes that gap by exposing incident operations through a standardized interface that AI assistants and agents can safely interact with.
This unlocks new workflows for reliability teams:
- Investigate incidents directly from AI-native environments such as Claude, Codex, or Cursor.
- Run AI-assisted root cause analysis using live incident and alert data.
- Push suggested fixes or operational changes back into Rootly workflows.
- Automate reliability operations through programmable infrastructure and AI agents.

Flexible deployment options
The Rootly MCP Server is designed to fit a variety of environments:
- Self-hosted deployment for teams that want full control over their infrastructure.
- Hosted MCP service for teams that want to get started quickly without managing the server themselves.
Real-time streaming for AI agents
The MCP server now supports both SSE (Server-Sent Events) and HTTP streaming transports, allowing AI clients and agents to stream responses and receive updates in real time using standard HTTP-compatible networking environments.
This improves compatibility with modern AI runtimes, IDE assistants, and enterprise network environments while enabling faster AI-driven incident workflows.
Getting started
- Deploy the Rootly MCP Server from the public repository or use the hosted version.
- Configure your Rootly API token and connect it to your MCP-compatible client.
- Start interacting with Rootly resources from your AI assistant or development environment.











