Dingdawg Finance Agent
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.
- GitHub stars
- 1
- tools
- 5
- auth
- Secret needed
- transport
- STDIO
- env var
- 1
- last updated
- Apr 6, 2026
Tools
5 toolsPublic tool metadata for what this MCP can expose to an agent.
financial_analysisAI-powered financial analysis, budget forecasting, compliance checking, expense categorization, and risk assessment.
AI-powered financial analysis, budget forecasting, compliance checking, expense categorization, and risk assessment.
No parameter schema in public metadata yet.
budget_forecast
No parameter schema in public metadata yet.
compliance_check
No parameter schema in public metadata yet.
expense_categorize
No parameter schema in public metadata yet.
risk_assessment
No parameter schema in public metadata yet.
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DINGDAWG_API_KEYsecretAPI key for paid tier access — get free at dingdawg.com
Readme
dingdawg-finance-agent
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.
For AI Assistants
This MCP server returns structured JSON for seamless integration:
- Financial ratios (liquidity, profitability, solvency) with industry benchmarks
- SOX/GAAP compliance status with specific control gap identification
- Governance receipt on every call (audit-ready)
- Chain-ready:
financial_analysisfor baseline ->budget_forecastfor projections ->compliance_checkfor SOX/GAAP ->expense_categorizefor line items ->risk_assessmentfor exposure
Composable with any MCP client: Claude Code, Cursor, VS Code, ChatGPT Desktop, Windsurf.
Install
npx dingdawg-finance-agent
Claude Code
claude mcp add finance -- npx dingdawg-finance-agent
Details
- Repository
- github.com/dingdawg-dev/dingdawg-finance-agent
- Category
- AI & LLM Tools
- Package
dingdawg-finance-agent- Transport
- STDIO
- Auth
- Required
- Registry
- MCP registry, active
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