Financial analysis AI. Forecasting, audit prep, SOX/GAAP compliance. Accuracy compounds with use.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
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Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Choose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Documentation Overview
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
Claude Code
Cursor
Add to .cursor/mcp.json:
Full Stack (all 13 agents)
Tools
| 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 |
Pricing
- Free: 10 analyses/day, basic ratios
- Pro: $49/mo, 100 calls/day, AI-powered deep analysis
- Pay-as-you-go: $0.25/call, no commitment
Get API key: https://dingdawg.com/developers
Governed
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.
Support
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