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AI Trinity Data Extraction Project

Objective

Set up Claude Code and Codex with all MCPs, then extract and map data from:

  • Cloze CRM (handled by Claude Code)
  • Notion (handled by Codex o3)

Challenge & Solution

  • Claude Code: Has native MCP support - can directly access Cloze
  • Codex: No native MCP support - will use Claude Code as a bridge to access Notion

MCP Servers Available

Based on our system check, these MCPs are configured:

  1. mem0 - Shared memory
  2. notion - Notion workspace access
  3. cloze - CRM data access
  4. filesystem - File operations
  5. desktop-commander - System commands
  6. github - Repository access
  7. supabase - Database operations
  8. figma - Design files
  9. cognitive-os-obsidian - Notes
  10. cognitive-os-whoop - Health data
  11. cognitive-os-activitywatch - Activity tracking
  12. playwright - Browser automation
  13. sequential-thinking - Complex reasoning
  14. web-search - Brave search API

Execution Plan

Phase 1: MCP Configuration

  1. Ensure Claude Code has access to all MCPs
  2. Create data bridge for Codex

Phase 2: Data Extraction

  1. Claude Code extracts Cloze CRM data
  2. Claude Code accesses Notion data and saves for Codex
  3. Codex analyzes and maps the Notion data

Phase 3: Data Synthesis

  1. Combine insights from both sources
  2. Create unified data map
  3. Generate actionable insights