EcoSentinel

Verified Integration

Author: @controlling•Category: ServerApplication

GitHub Repository

JSON-RPC 2.0

Protocol Standard

Sub-second

Execution Latency

Active

Operational Status

Client Configuration

— Connect EcoSentinel to Claude Desktop or Cursor in seconds

{
  "mcpServers": {
    "ecosentinel": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-ecosentinel"
      ],
      "env": {}
    }
  }
}

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Architecture & Capabilities

System Overview

Connects AI assistants to real-time global environmental data, detecting anomalies and inferring causal relationships for events like pollution spikes.

Indexed Date

7/22/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for EcoSentinel

EcoSentinel integrates seamlessly with AI assistants via the Model Context Protocol (MCP). This allows AI models to call EcoSentinel's tools to fetch live environmental data, perform statistical analysis, and receive structured reports for accurate, evidence-based responses.

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