{
  "name": "FAF - The JPEG for AI™",
  "description": ".faf The JPEG for AI is here. Universal AI context management with 33+ tools for Claude Desktop. Every command shows AI-Readiness score. Drop file → Type 'faf' → 99% ready!",
  "author": "wolfejam",
  "homepage": "https://faf.one",
  "repository": "https://github.com/wolfejam/claude-faf-mcp",
  "npm": "claude-faf-mcp",
  "categories": ["Development", "Productivity", "File Management"],
  "features": [
    "Zero dependencies, zero faff",
    "99% AI-readiness in <50ms",
    "Bi-directional sync between .faf and claude.md",
    "11,000+ tests run",
    "F1-inspired performance"
  ],
  "tools": [
    {
      "name": "faf_init",
      "description": "Initialize .faf context for any project"
    },
    {
      "name": "faf_score",
      "description": "Calculate AI-readiness score with detailed breakdown"
    },
    {
      "name": "faf_enhance",
      "description": "Claude-optimized AI enhancement with multi-model support"
    },
    {
      "name": "faf_sync",
      "description": "Synchronize .faf context with claude.md"
    },
    {
      "name": "faf_bi_sync",
      "description": "Bi-directional sync with real-time watching"
    },
    {
      "name": "faf_trust",
      "description": "Validate context integrity and trust metrics"
    },
    {
      "name": "faf_status",
      "description": "Get comprehensive project status and AI readiness"
    },
    {
      "name": "faf_clear",
      "description": "Clear caches and reset state"
    },
    {
      "name": "faf_debug",
      "description": "Debug server environment and FAF CLI connectivity"
    }
  ],
  "config": {
    "mcpServers": {
      "claude-faf": {
        "command": "claude-faf-mcp",
        "args": [],
        "env": {}
      }
    }
  }
}