The Loss-Prevention Friction Engine for Founders

An AI-powered MCP server that stops you from building things nobody wants using clinical analytics, behavioral pattern scanning, and real-time market intelligence.

Tools • Quickstart • Architecture • Deployment

openGlad is a Model Context Protocol (MCP) server that acts as the ultimate friction engine for startups. It provides AI agents (Mistral's Le Chat, Claude, etc.) with specialized tools to enforce loss-prevention before you write a single line of code. Through MCP, you can seamlessly connect openGlad directly to Mistral's Le Chat natively:

• 🛑 Loss-Prevention Pipeline — Runs behavioral pattern scans, 3-scenario failure predictions, and locks building until monetization is confirmed.
• 🔍 Market Reality Check — Analyzes real-time Reddit trends across 11 entrepreneurship subreddits to detect overcrowding and entry risks.
• 📊 Startup Diagnostics — Evaluates execution stability, revenue health, burnout risk, and distribution discipline.
• 🩺 Clinical Triage — Objective, data-driven assessments with zero motivational fluff.

Think of it as an anti-delusion engine for your startup — designed to tell you 'no' before you waste months building the wrong thing.

┌──────────────┐         ┌───────────────────────┐         ┌──────────────┐
│   AI Client  │  MCP    │   openGlad Worker     │  API    │  Mistral AI  │
│  (Le Chat,   │◄──────►│   (Cloudflare Edge)   │◄──────►│  (Agents +   │
│   Claude)    │         │      Version 4.0      │         │  Web Search) │
└──────────────┘         └───────────────────────┘         └──────┬───────┘
                                                                  │
                                                           ┌──────▼───────┐
                                                           │    Reddit    │
                                                           │  11 Subs     │
                                                           └──────────────┘

Tech Stack:

• Runtime: Cloudflare Workers (edge-deployed, globally distributed)
• Protocol: MCP (Model Context Protocol) via Streamable HTTP
• AI Engine: Mistral AI Agents API with built-in web search
• Language: TypeScript (Modular Architecture)

Data Sources — 11 subreddits scanned in real-time:

r/Startup_Ideas · r/Business_Ideas · r/SaaS · r/SideProject · r/EntrepreneurRideAlong · r/IndieHackers · r/Futurology · r/Technology · r/AINewsAndTrends · r/Startups · r/Entrepreneur

The MCP server is deployed and ready to use:

https://openglad-mcp.testworker12361.workers.dev/mcp

Add to your MCP client configuration:

{
  "mcpServers": {
    "openGlad": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://openglad-mcp.testworker12361.workers.dev/mcp"]
    }
  }
}

npx @modelcontextprotocol/inspector@latest
# Enter URL: https://openglad-mcp.testworker12361.workers.dev/mcp

Once connected, try these with your AI client:

"Run the bet on my startup idea: an AI-powered tool that generates investor pitch decks from a one-page brief"

"Can you check if my idea for a daily planner app is going to fail?"

"Run a full health diagnostic on my startup with these metrics: MRR $12k, churn 8%, 3 developers, shipping weekly"

• Node.js 18+
• Cloudflare account
• Mistral AI API key

# Clone and install
cd worker-openglad
npm install

# Local development
npm run dev

# Deploy to Cloudflare
npx wrangler deploy

# Set your Mistral API key
npx wrangler secret put MISTRAL_API_KEY

openGlad/
└── worker-openglad/          # Cloudflare Worker project
    ├── src/
    │   ├── config/            # Environment & constants
    │   ├── prompts/           # LLM system prompts & templates
    │   ├── services/          # Mistral & external APIs
    │   ├── tools/             # MCP Tool definitions & handlers
    │   ├── utils/             # Helper functions
    │   └── index.ts           # Server entry point & tool registration
    ├── wrangler.jsonc          # Cloudflare Worker configuration
    ├── package.json
    └── tsconfig.json

1. User asks → "I want to build an AI resume builder"
2. AI client → Calls run_the_bet or analyze_startup
3. openGlad Worker → Runs pattern_scan to identify behavioral risks and queries Mistral AI for loss_simulation.
4. Mistral Agent → Maps out why the idea will likely fail and searches Reddit to assess true market conditions.
5. Revenue Gate → Blocks positive validation until a sustainable monetization path is proven.
6. User receives → A brutal truth check: what their blind spots are, what their failure modes look like, and whether they are allowed to proceed to building.

• Cloudflare Workers — Serverless edge computing
• Model Context Protocol — Standard protocol for AI tool integration
• Mistral AI — Agents API with built-in web search
• Cloudflare Agents SDK — MCP server framework

MIT