OpenGlad MCP Server
@Tuguberk
基本情報
OpenGlad MCP Server について
The Loss-Prevention Friction Engine for Founders
OpenGlad MCP Server の設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"openGlad": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://openglad.tuguberk.dev/mcp"
]
}
}
}OpenGlad MCP Server のツール
13The primary friction tool. Use this FIRST when a user shares a new startup idea or business concept. Executes the full pipeline: Pattern Scan + Loss Simulation + Revenue Gate + Micro-Correction. Fetches real-time market intelligence from Reddit, HackerNews, GitHub, and Polymarket for multi-source grounding. Returns a comprehensive reality check — present the full output to the user without summarizing.
Detects behavioral antipatterns: overbuilding drift, monetization avoidance, prestige bias, idea hopping. Use this when the user is talking ABOUT their approach, mindset, or decision-making — not presenting a new idea. Does NOT search external sources. For new ideas, use run_the_bet instead.
Simulates 3 failure scenarios (Best/Likely/Worst) for an idea with quantified expected loss in hours and money. Fetches multi-source market data (Reddit, HN, GitHub, Polymarket) to ground predictions in real signals. Use this when the user wants to understand the RISK of an idea without the full run_the_bet pipeline.
Locks the build phase and produces 2-3 specific monetization unlock tasks the user must complete before writing code. Use this when the user is eager to start building but hasn't validated willingness-to-pay. Does NOT search external sources — purely behavioral.
Friction-focused market analysis: detects overcrowding, tarpit ideas, late entry risk, and failure rate signals. Sources: Reddit, HackerNews, GitHub (competitor repos), and Polymarket prediction markets. Use this when the user asks about market timing, competition, or whether their space is saturated.
Broad multi-source trend scanner for any topic. Returns sentiment, red flags, cautionary tales, and a 6-12 month prediction using data from Reddit, HackerNews, GitHub, and Polymarket. Use this for general market research when the user asks "what's happening with X" or wants to explore a space before committing.
Comparative friction analysis for 2-3 startup ideas side-by-side. Fetches multi-source market intelligence for each idea in parallel (Reddit, HackerNews, GitHub, Polymarket), then produces a ranked comparison with gate statuses and a single verdict on which idea (if any) is worth pursuing. Use this when the user is deciding between multiple directions.
Smart triage router — the best starting point when unsure which tool to use. Pass the user's raw input and it auto-detects: ideas get routed to run_the_bet (with Reddit data), metrics/JSON get routed to the appropriate diagnostic. Set type to override auto-detection.
Analyzes engineering metrics (commit frequency, deploy failure rate, tech debt) and produces an Execution Stability Score (1-100). Use when the user provides development/repo activity data as JSON.
Analyzes financial metrics (MRR/ARR, churn, CAC/LTV, burn rate) and produces a Revenue Health Score (1-100). Use when the user provides financial data as JSON.
Analyzes team activity signals (work hours, context-switching, recovery) and produces a Burnout Risk Score (1-100). Use when the user provides team workload data as JSON.
Analyzes marketing/growth metrics (channel health, funnel, organic vs paid) and produces a Distribution Discipline Score (1-100). Use when the user provides marketing data as JSON.
Comprehensive system scan across all dimensions: Execution, Revenue, Burnout, and Distribution. Produces an Overall Health Score (1-100) with failure scenario predictions. Use this when the user provides complete startup telemetry covering multiple areas, or when they want a holistic view.
概要
What is OpenGlad?
OpenGlad is a Model Context Protocol (MCP) server that acts as a loss‑prevention friction engine for startup founders. It connects to AI clients like Claude, Cursor, or Windsurf and runs diagnostic tools—using live Reddit discussions, behavioral pattern scanning, failure simulation, and a revenue gate—to evaluate a startup idea before any code is written.
How to use OpenGlad?
Add the following configuration to your MCP client:
{
"mcpServers": {
"openGlad": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://openglad.tuguberk.dev/mcp"]
}
}
}
Then describe your startup idea to the AI client. For example: “Run the bet on my idea: an AI tool that generates investor pitch decks from a one-page brief.”
Key features of OpenGlad
- Friction engine with pattern scan, loss simulation, and revenue gate.
- Analyzes market trends from 11 startup subreddits.
- Runs comprehensive startup diagnostics (execution,
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