Dingdawg Finance Agent

io.github.dingdawgPublished by GitHub account dingdawgv2.0.7Updated Oct 26, 2026

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

The publisher's own server: Finance Foundation

VerifiedSTDIODesktop onlyFinanceData & Analytics

Overview

AI-generated overview

Local MCP server that gives an assistant finance tools for ratio analysis, budget forecasting, SOX/GAAP compliance checks, expense categorization and risk…

What you can do
  • Run financial ratio analysis (liquidity, profitability, solvency) with industry benchmarks
  • Project budgets and multi-scenario forecasts
  • Check SOX/GAAP compliance and identify control gaps
  • Categorize expenses and flag anomalies
  • Score risk exposure, with Monte Carlo simulation on the paid tier
  • Return structured JSON with a governance receipt on every call
When to use it
Useful when an assistant needs to work through financial statements, budgets, compliance reviews or expense data and return structured, audit-oriented output. The free tier covers basic ratio analysis and limited daily calls; deeper modeling and compliance analysis require a paid key.
Requirements
Runs locally via npx, so Node.js is needed. A DINGDAWG_API_KEY environment variable is required for paid-tier features; a free key is available from the vendor. Network access is implied for LLM-powered paid features.
Before you install
The server asks for an API key (DINGDAWG_API_KEY) and paid tiers cost money: Pro at $49/month or $0.25 per call, with free-tier daily call limits. Financial data submitted for analysis is processed by the vendor's service on the paid tier. Outputs are analytical aids, not professional financial or audit advice.

Installation

In SourceWeft

  1. Open Dingdawg Finance Agent in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

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

ToolFree TierPaid Tier
financial_analysis10/day, basic ratio analysisUnlimited, LLM-powered with industry benchmarking
budget_forecast5/day, linear projectionUnlimited, AI-powered multi-scenario modeling
compliance_check5/day, checklist-based SOX/GAAPUnlimited, deep compliance with control gap analysis
expense_categorize20/day, rule-based categorizationUnlimited, AI-powered with anomaly detection
risk_assessment5/day, basic risk scoringUnlimited, 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

[email protected] | https://dingdawg.com

Source: README.md at commit 2b6f16b

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v2.0.7LatestSep 16, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.

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