Grok FAF
Grok asked for MCP on a URL. This is it.
Quick Start
# Connect this server (installs CLI if needed)
npx -y smithery mcp add wolfe-jam/grok-faf-mcp
# Browse available tools
npx -y smithery tool list wolfe-jam/grok-faf-mcp
# Get full schema for a tool
npx -y smithery tool get wolfe-jam/grok-faf-mcp faf_about
# Call a tool
npx -y smithery tool call wolfe-jam/grok-faf-mcp faf_about '{}'Direct MCP Connection
Endpoint: https://grok-faf-mcp--wolfe-jam.run.tools
Tools (20)
faf_about— Learn what .faf format isfaf_what— Quick explanation of .faf formatfaf_status— Check if project has project.faffaf_score— Calculate AI-readiness score (0-100%)faf_init— Create project.faf for a projectfaf_trust— Validate project.faf integrityfaf_sync— Sync .faf with CLAUDE.mdfaf_enhance— Enhance .faf with AI optimizationfaf_bi_sync— Bi-directional sync between project.faf and CLAUDE.md. v4.5.0: Also sync to AGENTS.md, .cursorrules, GEMINI.md!faf_clear— Clear caches, temporary files, and reset FAF state for a fresh startfaf_debug— Debug Claude FAF MCP environment - show working directory, permissions, and FAF CLI statusfaf_read— Read content from any file on the local filesystemfaf_write— Write content to any file on the local filesystemfaf_list— List directories and discover projects with project.faf files - Essential for FAF discovery workflowfaf_chat— Guided interview to build project.faffaf_friday— Friday features — Chrome Extension detection, fuzzy matchingfaf_guide— FAF MCP usage guide for Claude Desktop - Projects convention, path resolution, and UX patternsrag_query— Ask a question with RAG-enhanced context from xAI Collections. Uses LAZY-RAG cache for 100,000x speedup on repeated que…rag_cache_stats— Get LAZY-RAG cache statistics - hits, misses, hit rate, cache sizerag_cache_clear— Clear the LAZY-RAG cache to start fresh
# Get full input/output schema for a tool
npx -y smithery tool get wolfe-jam/grok-faf-mcp