# Add to your MCP config
claude mcp add prelaunch -- uvx prelaunch-mcp

{
  "mcpServers": {
    "prelaunch": {
      "command": "uvx",
      "args": ["prelaunch-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "your-key-here",
        "GITHUB_TOKEN": "your-token-here"
      }
    }
  }
}

uvx prelaunch-mcp

"Check if anyone has built an AI agent security scanner"
"Is there competition for a Kubernetes cost optimization dashboard?"
"Run a pre-launch check on: open-source compliance tool for Indian banks"

{
  "competition_score": 42,
  "demand_score": 60,
  "competition_level": "high",
  "intent": {
    "category": "security",
    "product_type": "CLI tool",
    "target_audience": "AI engineers",
    "target_technology": "LangChain, CrewAI",
    "analogy": "npm audit but for AI agents",
    "core_problem": "No automated security scanning for AI agent deployments"
  },
  "top_similars": [...],
  "pain_signals": [
    {
      "title": "Anyone built security tooling for LangChain agents?",
      "url": "https://reddit.com/...",
      "subreddit": "LangChain",
      "score": 47
    }
  ],
  "insights": [
    "🟡 Moderate competition — the space exists but isn't saturated.",
    "🔥 Strong demand signal: 3 Reddit posts expressing unmet need.",
    "✅ Promising: competition validates market AND demand signals confirm unmet needs.",
    "🧭 Analogy: \"npm audit but for AI agents\" — validate dynamics apply to security."
  ]
}

# Clone
git clone https://github.com/Heman10x-NGU/prelaunch-mcp.git
cd prelaunch-mcp

# Install deps
uv sync --dev

# Run tests
uv run pytest tests/ -v

# Run server locally
uv run prelaunch-mcp

Input: "AI agent security scanner like npm audit for CrewAI"
    │
    ├── Stage 1: LLM Intent Parse (or fallback keywords)
    │   → category: "security" | type: "CLI tool" | queries: [...]
    │
    ├── Stage 2: Multi-Source Scan (parallel)
    │   → GitHub, HN, PyPI, npm, Google/DDG, Reddit
    │
    └── Stage 3: Scoring & Analysis
        → competition_score + demand_score + gap insights