About
A Model Context Protocol server that dynamically exposes Rootly API resources as AI tools, enabling developers to analyze incidents, suggest solutions, and manage alerts directly from MCP-compatible editors.
Capabilities

Overview
Rootly MCP Server bridges the gap between AI assistants and Rootly’s incident‑management platform, enabling developers to resolve production incidents directly from their IDE or editor. By exposing Rootly’s OpenAPI specification as a dynamic set of MCP resources and tools, the server eliminates context switching: a developer can query incident history, create alerts, or attach incidents to workflows without leaving the code editor. This tight integration accelerates triage and reduces mean‑time‑to‑resolution for on‑call teams.
The server automatically generates MCP resources from Rootly’s Swagger schema, ensuring that every available endpoint is accessible to the assistant. It then filters those endpoints to expose only a curated subset that balances security and usefulness, preventing accidental leakage of sensitive data. Smart pagination defaults to ten items per request for incident endpoints, keeping responses within the assistant’s context window and avoiding performance bottlenecks.
A standout feature is intelligent incident analysis: the server includes specialized tools that mine historical data. applies TF‑IDF similarity to surface incidents with comparable symptoms, while extracts resolution steps from past tickets. These tools give the assistant actionable insights, turning raw API data into contextual recommendations that a developer can act on immediately. The server also automatically identifies services, error types, and resolution patterns, enriching the assistant’s understanding of an organization’s operational landscape.
Typical use cases include:
- Rapid triage: A developer receives an alert, queries , and immediately sees related incidents and suggested fixes.
- Workflow automation: Using or , the assistant can programmatically route incidents to appropriate teams.
- On‑call documentation: By listing environments and functionalities, the assistant can generate context‑aware runbooks or knowledge base entries on demand.
Rootly MCP Server fits seamlessly into AI workflows that rely on MCP‑compatible editors such as Cursor, Windsurf, or Claude. Once configured, the assistant can invoke any exposed tool with a single command, and the server handles authentication, pagination, and data filtering transparently. This integration empowers developers to maintain focus on code while leveraging Rootly’s full incident‑management capabilities directly from their development environment.
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