Downdetector MCP, developed by Domdomegg, is a Model Context Protocol (MCP) server tool designed to provide real-time service status and outage information. Running on the Node.js runtime and distributed via the NPM registry, this free utility integrates directly with the Downdetector service. It allows AI systems and users of AI assistants to quickly ascertain the operational health of various online services. Its core purpose is to bridge public Downdetector data with AI environments, making service monitoring accessible for automated workflows and direct queries.

What does Downdetector MCP connect to?

The Downdetector MCP server tool establishes a direct connection to the public Downdetector service. This connection enables it to retrieve up-to-date service status and outage information for a multitude of online platforms. As an MCP server, its primary role is to act as an intermediary, fetching external data and making it consumable within the Model Context Protocol ecosystem. This design ensures that AI clients can query real-world service health without needing to directly interact with external web services.

Core features and tools

Downdetector MCP exposes a single callable tool named downdetector. This tool is designed to fetch specific service status reports. It requires a serviceName parameter, such as "steam" or "netflix", to identify the service in question. Additionally, an optional domain parameter, like "com", "uk", or "fr", allows users to specify the geographic region for the Downdetector inquiry. This precise parameterization ensures that AI assistants can retrieve highly relevant and localized outage information efficiently.

Who is it for?

Downdetector MCP is built for AI systems and individuals who use AI assistants to manage or monitor online services. It supports workflows where knowing the operational status of a service is critical for decision-making or troubleshooting. This includes developers integrating status checks into their applications or users seeking quick answers about service availability. Skip this if your workflow requires private or authenticated access to service status information, as it only uses public data.

How to get started

No credentials are required to use Downdetector MCP, as it provides direct access to public Downdetector data. The tool communicates using the Streamable HTTP transport protocol, compatible with various Model Context Protocol clients.

Use cases

• Checking the current operational status of a service (e.g., "Check if Steam is down right now").
• Inquiring about the general status of a specific service (e.g., "What's the current status of Netflix?").
• Obtaining recent outage reports for a service in a particular region (e.g., "Get the latest reports for Instagram in the UK").

Downdetector MCP offers a straightforward way for AI systems and their users to access public service status information. Its direct integration with Downdetector via the Model Context Protocol makes service health monitoring accessible. The tool's design prioritizes ease of access, requiring no authentication for its public data queries. It serves as a practical addition for any AI assistant needing to quickly ascertain if an online service is experiencing issues.