Rootly MCP Server

what is Rootly MCP Server? Rootly MCP Server is a server designed to integrate with the Rootly API, allowing users to resolve production incidents quickly within their favorite MCP-compatible editors like Cursor and Windsurf. how to use Rootly MCP Server? To use the Rootly MCP Server, install it via the PyPi package or clone the repository. Configure it in your MCP-compatible editor by setting up the necessary commands and environment variables, including your Rootly API token. key features of Rootly MCP Server? Dynamically generates MCP resources based on Rootly's OpenAPI specification. Default pagination for incident endpoints to manage context size. Security features to limit API paths exposed to AI agents. use cases of Rootly MCP Server? Quickly resolving production incidents without leaving the IDE. Integrating incident management tools into development workflows. Customizing API access for enhanced security and performance. FAQ from Rootly MCP Server? Is Rootly MCP Server suitable for production use? No, this project is a prototype and not intended for production use. How can I customize the API paths? You can edit the allowed_paths variable in the server configuration to expose more API paths. What prerequisites are needed to run the server? You need Python 3.12 or higher and the uv package manager.

As an MCP (Model Context Protocol) server, Rootly MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Rootly MCP Server, install it via the PyPi package or clone the repository. Configure it in your MCP-compatible editor by setting up the necessary commands and environment variables, including your Rootly API token. key features of Rootly MCP Server? Dynamically generates MCP resources based on Rootly's OpenAPI specification. Default pagination for incident endpoints to manage context size. Security features to limit API paths exposed to AI agents. use cases of Rootly MCP Server? Quickly resolving production incidents without leaving the IDE. Integrating incident management tools into development workflows. Customizing API access for enhanced security and performance. FAQ from Rootly MCP Server? Is Rootly MCP Server suitable for production use? No, this project is a prototype and not intended for production use. How can I customize the API paths? You can edit the allowed_paths variable in the server configuration to expose more API paths. What prerequisites are needed to run the server? You need Python 3.12 or higher and the uv package manager.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.