# dingdawg-finance-agent [Health: Active]

**Category:** 💰 Finance & Fintech  
**Repository:** https://github.com/DingDawg-dev/dingdawg-finance-agent  
**GitHub Stars:** 1  
**Views:** 1  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/dingdawg-finance-agent

## Description
Financial analysis AI. Forecasting, audit prep, SOX/GAAP compliance. Accuracy compounds with use.

## Tools
Capabilities this server exposes over MCP:

- **financial_analysis** — Unlimited, LLM-powered with industry benchmarking
- **budget_forecast** — Unlimited, AI-powered multi-scenario modeling
- **compliance_check** — Unlimited, deep compliance with control gap analysis
- **expense_categorize** — Unlimited, AI-powered with anomaly detection
- **risk_assessment** — Unlimited, Monte Carlo simulation with risk factors

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "dingdawg-finance-agent": {
    "command": "npx",
    "args": ["-y","dingdawg-finance-agent"]
  }
}
```

## Documentation & 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_analysis` for baseline -> `budget_forecast` for projections -> `compliance_check` for SOX/GAAP -> `expense_categorize` for line items -> `risk_assessment` for exposure

Composable with any MCP client: Claude Code, Cursor, VS Code, ChatGPT Desktop, Windsurf.

## Install

```bash
npx dingdawg-finance-agent
```

### Claude Code
```bash
claude mcp add finance -- npx dingdawg-finance-agent
```

### Cursor
Add to `.cursor/mcp.json`:
```json
{"mcpServers": {"finance": {"command": "npx", "args": ["dingdawg-finance-agent"], "env": {"DINGDAWG_API_KEY": "your-key"}}}}
```

### Full Stack (all 13 agents)
```bash
npx dingdawg-setup
```

## 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

support@dingdawg.com | https://dingdawg.com