FCCS MCP Agentic Server

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fccs-mcp-ag-server
scripts

legacy
add_rl_tables.py
analyze_level1_equity_eliminations_2025.py
boost_rl_confidence.py
check_cache.py
check_currencies.py
check_currency_dimension.py
check_rl_status.py
check_unbalanced_entities_2025.py
clear_cache.py
compare_actual_budget_forecast_fy24.py
compare_net_income_by_period_fy25.py
comprehensive_entity_analysis_2024_html.py
comprehensive_entity_analysis_2024.py
comprehensive_entity_analysis.py
comprehensive_fy25_analysis_mcp_html.py
comprehensive_fy25_analysis_mcp.py
comprehensive_fy25_analysis.py
consolidation_process_report.py
create_account_cache.py
create_entity_cache.py
dashboard.py
data_quality_check_fy24_dec.py
dcf_valuation_calculator_fy25.py
dcf_valuation_calculator.py
divestiture_rationale.py
divestiture_simulation.py
export_grid_csv.py
export_grid_to_csv.py
find_entities_net_income_variance_by_region.py
find_net_income_variance.py
find_non_usd_entities.py
fix_null_metrics.py
generate_analysis_html.py
generate_analysis_pdf.py
generate_comprehensive_entity_analysis_html.py
generate_comprehensive_fy25_analysis.py
generate_intercompany_matching_report_jan2025.py
generate_l0_movements_report.py
generate_synthetic_fy25_data.py
get_ap_ar_movements_fy25.py
get_ar_ap_bytd.py
get_cta_2025.py
get_cta_by_entity_fy25.py
get_eliminations_by_level_2025.py
get-gmail-token.py
get_net_income_variance.py
get_top_10_performers_2025.py
get_top_10_performers.py
get_top_10_underperformers.py
get_top_performers.py
grep_csv.py
income_statement_comparison_report.py
ingest_metadata.py
init_db.py
__init__.py
interactive_evaluate.py
load_account_cache_from_csv.py
load_entity_cache_from_csv.py
populate_cache.py
probe_cta_deep.py
provide_feedback.py
quick_evaluate.py
revenue_variance_drivers_report.py
rl_dashboard.py
run_cta_report_final.py
run_cta_report_v2.py
run_cta_report_v3.py
search_cache_members.py
show_account_contributions_to_imbalance.py
show_cache_status.py
show_current_performance.py
sqlite_benefits_demo.py
tool_stats_dashboard.py
top_5_entities_variance_report.py
try_common_entities.py
validate_apis.py
validate_mcp_server.py
validate_metadata_custom.py
verify_feedback_tools.py

grep_csv.py•249 B

with open('data/actual_monthly_data_jan_jun_fy25.csv', mode='r', encoding='utf-8') as f: lines = f.readlines() for i, line in enumerate(lines): if 'CTA' in line or 'Translation' in line: print(f"{i}: {line.strip()}")

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