Financial analysis AI. Forecasting, audit prep, SOX/GAAP compliance. Accuracy compounds with use.
{
"mcpServers": {
"io-github-dingdawg-dingdawg-finance-agent": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Financial analysis AI. Forecasting, audit prep, SOX/GAAP compliance. Accuracy compounds with use.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
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Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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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.