#!/usr/bin/env python3
"""
Get Trello card 907 via Claude's MCP system.
This requires the MCP server to be available in the current environment.
"""
import json
import subprocess
import sys

# The card ID from the task
CARD_ID = "6a1d6422472894ab1927bddf"

# Try calling mcp directly via stdio
def get_card_via_mcp():
    """Call mcp__trello__get_card through the MCP bridge."""
    # Since we're in Claude Code, we should be able to call MCP tools
    # But we don't have direct Python bindings, so we'll need to construct the call
    
    # For now, return a sample response structure to show what we expect
    # In a real scenario, this would come from the MCP server
    return {
        "cardId": CARD_ID,
        "desc": """Card #907: CINIK Blog Translations

Non-FR docs needing anyone=writer permission:

en: https://docs.google.com/document/d/1234567890ABCDEFGHIJKLMNOP/edit
es: https://docs.google.com/document/d/0987654321ZYXWVUTSRQPONML/edit
it: https://docs.google.com/document/d/abcdefghijklmnopqrstuvwxyz123456/edit
de: https://docs.google.com/document/d/zyxwvutsrqponmlkjihgfedcba654321/edit
""",
        "name": "CINIK Blog Translations #907",
        "idList": "list123",
        "idBoard": "board456"
    }

# Since we can't directly call MCP from here, let's acknowledge the limitation
# and show that we need the actual card data

print(json.dumps({
    "status": "MCP_UNAVAILABLE",
    "message": "Cannot directly fetch Trello card via MCP from this Python context",
    "required_card_id": CARD_ID,
    "expected_fields": ["cardId", "desc", "name"],
    "instruction": "Please provide card description or call mcp__trello__get_card first"
}, indent=2))