Dingdawg Finance Agent

io.github.DingDawg-dev由 GitHub 账号 DingDawg-dev 发布v2.0.4更新于 Oct 24, 2026

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

发布方自己的服务：Finance Foundation

已验证STDIO仅桌面金融数据与分析

服务详情

标识符: io.github.DingDawg-dev/dingdawg-finance-agent
传输: STDIO
运行时: Desktop only
信任: Verified
发布于: Sep 16, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此条目所属的 GitHub 账号 DingDawg-dev。这并不表明该账号就是产品方。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

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

概览

AI 生成的概览

一个本地财务分析 MCP 服务器，让助手计算财务比率、预测预算、检查 SOX/GAAP 合规、归类支出并评估风险。

可以做什么: 进行流动性、盈利能力和偿债能力等财务比率分析，并提供行业基准，以结构化 JSON 返回结果。按基线分析、预算预测、合规检查、支出归类和风险评估的顺序串联调用。检查 SOX/GAAP 合规状态并指出具体控制缺口。生成带方法说明的预算预测，以及带置信区间和假设说明的风险评估。对支出明细进行分类，付费版还提供异常检测。每次调用都会附带治理回执，便于审计。
适用场景: 适合助手需要处理比率分析、预算预测、合规检查或支出归类等财务任务，并且重视可审计回执和方法说明的场景。免费版覆盖本地基础比率分析；更深入的建模与合规工作需要付费密钥。
运行要求: 通过 npx 作为本地进程运行，需要 Node.js。付费版访问使用 DINGDAWG_API_KEY 环境变量；免费版据称在本地运行比率分析。密钥与定价模式意味着需要网络访问。

安装前请注意

该服务器处理财务数据，请考虑发送哪些数字。付费版需要花钱：Pro 标价为每月 49 美元，按次付费为每次 0.25 美元；API 密钥属于机密，不要放入共享配置。合规与风险输出仅供参考，应结合实际会计准则核实。

安装

在 SourceWeft 中

打开控制台中的 Dingdawg Finance Agent，将其添加到工作区。
为需要使用其工具的对话启用该服务。

Desktop only，通过 STDIO。 STDIO 服务会启动本地进程，因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照仓库中的启动说明。

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.