BotnBot MCP Overview

BotnBot MCP is a lightweight Model Context Protocol server designed to give AI assistants instant, structured insights into website uptime, performance, and environmental impact. By exposing a set of RESTful endpoints that return JSON metrics, the server allows conversational agents to query real‑time data about a site’s health and its carbon footprint, enabling richer, context‑aware interactions without the need for custom scraping or third‑party integrations.

The core problem BotnBot MCP solves is the lack of a unified, AI‑friendly source for web performance and sustainability data. Developers building chatbots or voice assistants often need to surface uptime, latency, error rates, and CO₂ emissions in natural language. Without a dedicated API, they must stitch together multiple monitoring services or build custom dashboards. BotnBot MCP consolidates these signals into a single, predictable interface that the Model Context Protocol can consume directly. This reduces latency, simplifies client logic, and ensures consistent data formatting across different AI workflows.

Key capabilities of the server include:

• Availability & Performance Monitoring: Exposes metrics such as response time, error rates, and uptime percentages for each monitored domain.
• Carbon Footprint Tracking: Provides CO₂ emissions data tied to specific monitoring periods (24 h, 7 d, 30 d), allowing assistants to discuss a site’s environmental impact.
• Multi‑Period Analysis: Supports querying historical data across multiple time windows, enabling trend analysis and proactive alerts.
• Simple RESTful API: Endpoints like and return JSON, making them trivially consumable by MCP clients.

In real‑world scenarios, BotnBot MCP shines for:

• DevOps chatbots that can answer questions such as “Is the production site down?” or “What’s our latest CO₂ emission figure?”
• Sustainability reporting tools that need to embed live carbon metrics into reports or dashboards.
• Site reliability engineering (SRE) assistants that can trigger remediation workflows when performance degrades or emissions spike.
• Educational platforms teaching web performance and green hosting practices by providing instant feedback.

Integration is straightforward: an MCP client simply registers the server’s base URL, then issues requests to the defined endpoints. The returned JSON is automatically merged into the model’s context, allowing the assistant to reference “monitor 42’s health” or “the 7‑day CO₂ trend” without additional parsing logic. Because the server is stateless and Docker‑friendly, it can be deployed behind a reverse proxy or within a CI/CD pipeline, ensuring high availability for production assistants.

Overall, BotnBot MCP offers developers a single, AI‑ready gateway to both technical performance and environmental metrics. Its focused feature set eliminates the need for custom integrations, while its clear API design ensures seamless incorporation into any MCP‑enabled workflow.