This connects your AI assistant to financial analysis tools that handle ratio calculations, budget forecasting, SOX/GAAP compliance checks, expense categorization, and risk assessment. The free tier runs basic ratio analysis locally with daily limits, while paid tiers unlock LLM-powered modeling with industry benchmarks and Monte Carlo simulations. Every operation returns structured JSON with governance receipts for audit trails. The tools are designed to chain together: run financial_analysis for baseline metrics, feed that into budget_forecast for projections, then validate with compliance_check. You'd reach for this when building AI workflows that need to interpret financial statements, flag compliance gaps, or automate expense classification with proper audit documentation.
Breakthrough financial analysis bottlenecks. AI finance that learns YOUR business metrics.
AI-powered financial analysis, budget forecasting, compliance checking, expense categorization, and risk assessment. Free tier runs ratio analysis locally. Paid tier provides LLM-powered financial modeling with SOX and GAAP compliance tracking. Every action is governed and receipted.
This MCP server returns structured JSON for seamless integration:
financial_analysis for baseline -> budget_forecast for projections -> compliance_check for SOX/GAAP -> expense_categorize for line items -> risk_assessment for exposureComposable with any MCP client: Claude Code, Cursor, VS Code, ChatGPT Desktop, Windsurf.
npx dingdawg-finance-agent
claude mcp add finance -- npx dingdawg-finance-agent
Add to .cursor/mcp.json:
{"mcpServers": {"finance": {"command": "npx", "args": ["dingdawg-finance-agent"], "env": {"DINGDAWG_API_KEY": "your-key"}}}}
npx dingdawg-setup
| Tool | Free Tier | Paid Tier |
|---|---|---|
financial_analysis | 10/day, basic ratio analysis | Unlimited, LLM-powered with industry benchmarking |
budget_forecast | 5/day, linear projection | Unlimited, AI-powered multi-scenario modeling |
compliance_check | 5/day, checklist-based SOX/GAAP | Unlimited, deep compliance with control gap analysis |
expense_categorize | 20/day, rule-based categorization | Unlimited, AI-powered with anomaly detection |
risk_assessment | 5/day, basic risk scoring | Unlimited, Monte Carlo simulation with risk factors |
Get API key: https://dingdawg.com/developers
Every call is receipted and auditable. Financial analyses reference GAAP standards and SOX control requirements. Budget forecasts include methodology disclosure. Risk assessments include confidence intervals and assumption documentation.
DINGDAWG_API_KEYsecretAPI key for paid tier access — get free at dingdawg.com
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