About
An MCP server that queries isitdownrightnow.com to determine if a website is currently down and provides recent downtime details. Ideal for monitoring site availability in AI workflows.
Capabilities
The mcp-server-isitdown MCP server fills a common gap in AI‑driven workflows: the ability to quickly verify whether an external website is operational without manual browser checks or custom API calls. By querying the publicly available service at isitdownrightnow.com, it translates raw uptime data into concise, human‑readable status messages that Claude and other AI assistants can return directly to users. This eliminates the need for developers to write their own scraping logic or maintain separate monitoring tools when they simply want a quick status check within a conversational context.
At its core, the server exposes a single, well‑defined tool: . The tool accepts a domain name as input and returns a string that indicates whether the site is currently up or down, along with the most recent downtime timestamp. This straightforward contract allows AI assistants to embed real‑time website health checks into broader diagnostic or support conversations. For example, a customer‑support bot can ask the user whether a service is down and immediately receive an authoritative answer, improving response times and reducing frustration.
Key capabilities of the server include:
- Real‑time status retrieval from a reliable third‑party uptime database.
- Simple input schema: only the root domain string is required, making it trivial to invoke from natural language queries.
- Human‑friendly output: the response is a plain text message, ready for direct display or further processing by downstream tools.
- Asynchronous operation: the tool can be called within async workflows, ensuring that it does not block other AI tasks.
Typical use cases span from internal DevOps monitoring to public‑facing support. A system administrator might integrate the tool into a Slack bot that alerts on site outages, while a content creator could use it to confirm the availability of partner sites before publishing links. In educational settings, students learning about network reliability can experiment with the server to observe how downtime events propagate across services.
Integration into AI workflows is seamless. Once the MCP server is registered with an assistant such as Claude Desktop, the tool becomes available as a first‑class action. The assistant can parse user intent—e.g., “Is example.com down?”—invoke , and return the status message. Because the server handles all HTTP communication internally, developers can focus on higher‑level logic without worrying about authentication or rate limiting. The MCP server’s design also makes it a drop‑in component for any system that already uses the Model Context Protocol, providing a consistent interface across diverse tooling ecosystems.
In summary, mcp-server-isitdown offers developers a lightweight, reliable bridge between conversational AI and live website health data. Its minimalistic API, clear output format, and tight integration with MCP make it an indispensable tool for anyone needing instant uptime verification within AI‑powered applications.
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