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Rootly MCP Server

MCP Server

Resolve incidents in your IDE with Rootly integration

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Updated Mar 22, 2025

About

The Rootly MCP Server dynamically generates MCP tools from Rootly's OpenAPI, allowing developers to query and manage incidents directly within MCP-compatible editors. It limits exposed paths for context safety and security.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Demo GIF

Rootly MCP Server is a lightweight bridge that exposes the rich functionality of the Rootly incident‑management API to any MCP‑compatible AI assistant. By turning Rootly’s OpenAPI specification into a set of dynamically generated tools, the server lets developers resolve production incidents, query alerts, and create tickets—all from within their preferred code editor or conversational AI platform. The result is a single‑click workflow that keeps engineers focused on code rather than context switching to a separate incident dashboard.

The server solves the problem of fragmented tooling in operations workflows. Rootly’s API is extensive, with dozens of endpoints that can overwhelm an AI agent or risk leaking sensitive data. Rootly MCP Server mitigates this by exposing only the most critical paths—incident listings and incident‑event alerts—and automatically applying sensible defaults such as a ten‑item pagination limit. This keeps the AI’s context window manageable while still providing enough information to triage and act on incidents quickly. For developers, the server translates complex API calls into simple tool invocations that can be called by prompts or auto‑completion in editors like Cursor and Windsurf.

Key capabilities include:

  • Dynamic tool generation from the Rootly OpenAPI spec, ensuring that any future API changes are reflected without manual updates.
  • Controlled exposure of endpoints through an whitelist, protecting both security and usability.
  • Built‑in pagination to prevent context overflow when listing incidents or alerts.
  • Seamless integration with MCP‑compatible editors, allowing an AI assistant to execute Rootly operations as if they were native commands.

Typical use cases are:

  • A developer receives an alert about a service outage and, inside the IDE, asks the AI to list all open incidents for that service. The assistant replies with a concise table and offers options to acknowledge or close the incident.
  • During a post‑mortem, an engineer requests the AI to fetch all alert events for a specific incident ID. The server returns a filtered list, enabling quick analysis without leaving the codebase.
  • A DevOps team sets up the server in a CI pipeline, letting an AI bot automatically create Rootly tickets when automated tests fail.

Because the server is written in Python and distributed as a PyPI package, it can be dropped into any existing MCP workflow with minimal configuration. Its lightweight design and strict path filtering make it a safe, production‑ready prototype for teams that want to embed incident management directly into their development environment.