AI Report Automation System

Verified Integration

Author: @LangGraph•Category: ServerApplication

GitHub Repository

JSON-RPC 2.0

Protocol Standard

Sub-second

Execution Latency

Active

Operational Status

Client Configuration

— Connect AI Report Automation System to Claude Desktop or Cursor in seconds

{
  "mcpServers": {
    "ai-report-automation-system": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-ai-report-automation-system"
      ],
      "env": {}
    }
  }
}

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

Architecture & Capabilities

System Overview

Automates the generation and delivery of detailed PDF reports combining real-time stock market and weather data, enriched with AI-generated anomaly detection and insights.

Indexed Date

7/21/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for AI Report Automation System

A multi-agent AI pipeline (powered by LangGraph and Groq) orchestrates data collection, performs LLM-driven anomaly detection, conducts operational risk assessments, and generates insightful summaries directly integrated into the PDF reports.

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