Dingdawg Finance Agent

io.github.dingdawg由 GitHub 帳號 dingdawg 發布v2.0.7更新於 Oct 26, 2026

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

發布方自己的服務：Finance Foundation

已驗證STDIO僅桌面金融資料與分析

服務詳細資訊

識別碼: io.github.dingdawg/dingdawg-finance-agent
傳輸: STDIO
執行環境: Desktop only
信任: Verified
發布於: Sep 16, 2026

安全提示

MCP 服務會接收對話中的工具呼叫請求，並可能執行外部操作。啟用前請先了解該服務能做什麼，並只授予它所需的權限。

註冊中心已驗證此條目所屬的 GitHub 帳號 dingdawg。這並不表明該帳號就是產品方。

SourceWeft 的檢查只涵蓋條目是否完整、端點是否回應；不審查伺服器的程式碼，也不審查其工具的行為。

在 README 中新增徽章

向讀者展示該 MCP 服務已收錄於 SourceWeft，徽章連結到本頁。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.dingdawg%2Fdingdawg-finance-agent.svg)](https://sourceweft.com/mcp/io.github.dingdawg%2Fdingdawg-finance-agent?utm_source=readme&utm_medium=badge)

概覽

AI 產生的概覽

本機 MCP 伺服器，讓助理進行財務比率分析、預算預測、SOX/GAAP 合規檢查、費用分類與風險評估。

可以做什麼: 執行流動性、獲利能力與償債能力等財務比率分析，並對照產業基準
產生預算預測與多情境建模
檢查 SOX/GAAP 合規狀況並指出控制缺口
將費用分類並找出異常
評估風險曝險，付費版提供蒙地卡羅模擬
每次呼叫回傳結構化 JSON 並附治理回執
適用情境: 適合助理需要處理財務報表、預算、合規審查或費用資料，並產出結構化、可稽核結果的情境。免費版僅涵蓋基本比率分析與有限的每日呼叫次數，較深入的建模與合規分析需要付費金鑰。
執行需求: 透過 npx 在本機執行，需要 Node.js。付費功能需要 DINGDAWG_API_KEY 環境變數，免費金鑰可向廠商申請。付費的 LLM 功能需要網路連線。

安裝前請注意

伺服器要求提供 API 金鑰（DINGDAWG_API_KEY），付費版需付費：Pro 每月 49 美元或每次呼叫 0.25 美元，免費版有每日呼叫上限。付費版送出的財務資料會由廠商服務處理。輸出僅為分析輔助，不構成專業財務或稽核意見。

安裝

在 SourceWeft 中

開啟儀表板中的 Dingdawg Finance Agent，將其新增到工作區。
為需要使用其工具的對話啟用該服務。

Desktop only，透過 STDIO。 STDIO 服務會啟動本機處理程序，因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照儲存庫中的啟動說明。

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

Claude Code

Cursor

Add to .cursor/mcp.json:

json

{"mcpServers": {"finance": {"command": "npx", "args": ["dingdawg-finance-agent"], "env": {"DINGDAWG_API_KEY": "your-key"}}}}

{"mcpServers": {"finance": {"command": "npx", "args": ["dingdawg-finance-agent"], "env": {"DINGDAWG_API_KEY": "your-key"}}}}

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.