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.faf for Grok - First MCP Server Built for xAI

Validated

First MCP server for Grok/xAI. URL-based access. 17 tools for .faf project context.

Registrynpm10/wk
Tools
20
Updated
Jan 8, 2026
Validated
Jan 9, 2026
Validation Details

Duration: 7.1s

Server: claude-faf-mcp v1.0.1

Quick Install

npx -y grok-faf-mcp
faf_about

Learn what .faf format is - THE JPEG for AI 🧡⚡️

faf_what

What is .faf format? Quick explanation of THE JPEG for AI 🧡⚡️

faf_status

Check if your project has project.faf (THE JPEG for AI) - Shows AI-readability status 🧡⚡️

faf_score

Calculate your project's AI-readability from project.faf (THE JPEG for AI) - F1-inspired metrics! 🧡⚡️

faf_init

Create project.faf (THE JPEG for AI) - Makes your project instantly AI-readable 🧡⚡️. Use Projects convention (~/Projects/[name]/project.faf) by default. Run faf_guide for path resolution rules.

faf_trust

Validate project.faf integrity - Trust metrics for THE JPEG for AI 🧡⚡️

faf_sync

Sync project.faf (THE JPEG for AI) with CLAUDE.md - Bi-directional context 🧡⚡️

faf_enhance

Enhance project.faf (THE JPEG for AI) with AI optimization - SPEEDY AI you can TRUST! 🧡⚡️

faf_bi_sync

Platform-aware sync: project.faf to .cursorrules, .clinerules, .windsurfrules, CLAUDE.md

faf_clear

Clear caches, temporary files, and reset FAF state for a fresh start

faf_debug

Debug Claude FAF MCP environment - show working directory, permissions, and FAF CLI status

faf_read

Read content from any file on the local filesystem

faf_write

Write content to any file on the local filesystem

faf_list

List directories and discover projects with project.faf files - Essential for FAF discovery workflow

faf_chat

🗣️ Natural language project.faf generation - Ask 6W questions (Who/What/Why/Where/When/How) to build complete human context 🧡⚡️

faf_friday

🎉 Friday Features - Chrome Extension detection, fuzzy matching & more! 🧡⚡️

faf_guide

FAF MCP usage guide for Claude Desktop - Projects convention, path resolution, and UX patterns

rag_query

Ask a question with RAG-enhanced context from xAI Collections. Uses LAZY-RAG cache for 100,000x speedup on repeated queries.

rag_cache_stats

Get LAZY-RAG cache statistics - hits, misses, hit rate, cache size

rag_cache_clear

Clear the LAZY-RAG cache to start fresh

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