Rootly-AI-Labs/Rootly-MCP-server

Overview

Rootly MCP server is a Python-based tool that exposes Rootly incident management capabilities through the Model Context Protocol. It allows AI agents to create, update, and manage incidents programmatically via a standardized interface.

Best for

Best for
Developers building AI assistants that need to manage Rootly incidents

Use cases

• Automating incident creation and updates from AI assistants
• Integrating incident management into AI-driven workflows
• Querying incident status and history through natural language

How to use

Install

curl -LsSf https://astral.sh/uv/install.sh | sh

Tools exposed

• uv
• python

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Gemini CLI, Codex

Example client config

{\n  "mcpServers": {\n    "rootly": {\n      "command": "uv",\n      "args": [\n        "tool",\n        "run",\n        "--from",\n        "rootly-mcp-server",\n        "rootly-mcp-server"\n      ],\n      "env": {\n        "ROOTLY_API_TOKEN": "<YOUR_ROOTLY_API_TOKEN>",\n        "ROOTLY_MCP_ENABLE_WRITE_TOOLS": "true"\n      }\n    }\n  }\n}

Notes

Rootly MCP server is a Python-based tool that exposes Rootly incident management capabilities through the Model Context Protocol. It allows AI agents to create, update, and manage incidents programmatically via a standardized interface.

42 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

• Automating incident creation and updates from AI assistants
• Integrating incident management into AI-driven workflows
• Querying incident status and history through natural language

Pros

• Enables direct AI agent interaction with Rootly incident data
• Lightweight Python implementation with clear MCP protocol
• Open source with 42 stars and active community potential

Cons

• Limited to Rootly platform, not a general incident management solution
• Small user base may mean fewer community contributions
• Requires understanding of both MCP and Rootly APIs

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.