claude-faf-mcp v3.0.4 completes the Mk3 bundled engine initiative by achieving 100% standalone operation with zero external CLI dependencies across all 50 MCP tools, while maintaining full backward compatibility.

🏆 The Achievement

  • ☑️ 50/50 MCP tools operational (100% standalone)
  • ☑️ 14/14 bundled commands tested and passing
  • ☑️ 16.2x average speedup over CLI versions
  • ☑️ 19ms average execution time
  • ☑️ Fastest command: 1ms (formats)
  • ☑️ Zero memory leaks

What Changed in v3.0.4

Two new bundled commands complete the 100% standalone achievement:

⚡ faf_quick

Lightning-fast project.faf creation

  • 3ms average execution (50x faster than CLI)
  • Parses comma-separated input: "name, description, language, framework, hosting"
  • Generates complete 81-line YAML structure
  • 60% initial AI-readiness score

🏎️ faf_enhance

Intelligent enhancement with auto-detection

  • 63ms execution for complex operations
  • Auto-detects improvements from package.json, tsconfig.json
  • MCP-native interactive questionnaire (6 W's: Who, What, Why, Where, When, How)
  • Real FafCompiler scoring integration
  • Achieves 40-60% improvement through auto-detection alone

Complete Standalone Suite (14 Bundled Commands)

init, score, auto, sync, bi-sync, formats, doctor, validate, audit, update, migrate, innit, quick, enhance

Performance Breakthrough

Mk3 bundled engine eliminates process spawning overhead by bundling core FAF CLI compiler code directly into the MCP package:

CommandCLI (ms)Mk3 (ms)Speedup
formats85185.0x
quick150350.0x
sync120815.0x
enhance6806310.8x
Average~300~1916.2x

Technical Innovation

Mk3 Bundled Engine Architecture

  • Core FAF CLI compiler code bundled directly into MCP package
  • Direct function calls eliminate process spawning overhead
  • TypeScript strict mode with zero any types
  • Comprehensive error handling and input sanitization
  • Real FafCompiler scoring (not simplified algorithms)

Code Quality Metrics

  • TypeScript strict mode: 100%
  • No any types used
  • Full interface coverage
  • Try-catch on all async operations
  • Input sanitization: All user inputs
  • Path validation: Safe file operations
  • Shell injection vulnerabilities: Zero
  • WJTTC Gold Certified

Validation and Testing

🏁 WJTTC Championship Certification

🏎️ STRESS TEST: All 14 Bundled Commands - 100% Standalone

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

☑️ init         53ms
☑️ score        14ms
☑️ auto         36ms
☑️ sync         8ms
☑️ bi-sync      10ms
☑️ formats      1ms
☑️ doctor       14ms
☑️ validate     6ms
☑️ audit        12ms
☑️ update       12ms
☑️ migrate      0ms
☑️ innit        32ms
☑️ quick        3ms
☑️ enhance      63ms

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🏆 RESULTS: 14/14 passed (100%)

🎉 ALL 14 BUNDLED COMMANDS WORKING - 100% STANDALONE CONFIRMED!
  • 14/14 bundled commands: 100% pass rate
  • 50/50 MCP tools tested: 100% operational
  • Zero regressions from previous versions
  • Comprehensive edge case coverage
  • Stress tested under real-world conditions

Project Context

claude-faf-mcp is the official MCP server for the .faf format (Foundational AI-context Format), an IANA-registered Internet media type (application/vnd.faf+yaml) that provides persistent project context for AI development tools.

🏛️

IANA Registration

October 31, 2025

🤖

Anthropic MCP Registry

PR #2759 (merged)

🏪

Google Chrome Web Store

Two approvals (Sep 11, Oct 29)

📦

Downloads

5,600 total (598/week)

Before & After

Before v3.0.4 (CLI-Dependent)

User: "Run faf enhance on my project"
Claude: [Spawns external CLI process, 680ms delay]
        [Requires faf-cli installation]
        [Cannot use MCP-native prompts]

After v3.0.4 (100% Standalone)

User: "Run faf enhance on my project"
Claude: [Direct function call, 63ms execution]
        [Auto-detects React, TypeScript, version]
        [MCP-native interactive questionnaire]
        [42% → 56% score improvement]

Developer Experience

Installation:

npm install -g claude-faf-mcp

Claude Desktop Configuration:

{
  "mcpServers": {
    "claude-faf-mcp": {
      "command": "npx",
      "args": ["-y", "claude-faf-mcp"]
    }
  }
}

Instant Usage:

  • No CLI installation required
  • No external dependencies needed
  • Works out of the box
  • All 50 tools available immediately

Evolution Timeline

v3.0.0

Mk3 bundled engine introduced (12 bundled commands, 48/50 standalone)

v3.0.1

Stability improvements (48/50 standalone)

v3.0.2

Performance optimizations (48/50 standalone)

v3.0.4

100% standalone achievement (50/50 standalone) ☑️

Architecture Philosophy

Format-Driven Infrastructure

  • .faf format is foundational, not tooling
  • Structured, machine-readable context layer
  • Persistent across sessions, tools, and AI systems
  • Interoperable with any MCP client, CLI, or workflow automation

F1-Inspired Engineering

  • Speed without compromise on quality
  • Championship-grade performance targets
  • Strict TypeScript with zero errors
  • Comprehensive testing requirements

Impact

For Users

  • 16.2x faster workflows
  • No external dependencies
  • Better error messages
  • Enhanced reliability

For Developers

  • Easier debugging (unified codebase)
  • Better testing (direct function calls)
  • Simpler deployment (no CLI installation)
  • Cleaner architecture

For Ecosystem

  • Complete MCP independence
  • Production-ready standard
  • Future-proof extensibility
  • Internet-scale format recognition

Backward Compatibility

v3.0.4 maintains full backward compatibility:

  • Existing .faf files work unchanged
  • Legacy API surface preserved
  • No breaking changes
  • Seamless upgrade path from v3.0.0+

What's Next

With 100% standalone operation achieved, the project focuses on:

  • Ecosystem adoption and integration expansion
  • Enhanced interactive features via MCP tools
  • Performance benchmarking and optimization
  • Community-driven feature development

Resources

About .faf

FAF (Foundational AI-context Format) is an IANA-registered Internet media type for persistent project context in AI development tools. Registered as application/vnd.faf+yaml on October 31, 2025, .faf provides the same foundational role for AI context that package.json provides for dependencies.

project.faf file highlighted in project structure between package.json and README.md

project.faf in its rightful place - between dependencies and human docs

About the Author

James Wolfe (Wolfe-Jam), creator of the .faf format and claude-faf-mcp MCP server. ORCID: 0009-0007-0801-3841.

License

MIT License - Free and open source forever.