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io.github.dingdawg/dingdawg-finance-agent

NPM · DINGDAWG-FINANCE-AGENT · SCANNED AUG 3

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

+20 this week 66 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability60
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 392 tokens (~78/item across 5 items; 5 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · dingdawg-finance-agent

# add to Claude Code
claude mcp add dingdawg-dingdawg-finance-agent -- npx -y dingdawg-finance-agent
# add to Codex CLI
codex mcp add dingdawg-dingdawg-finance-agent -- npx -y dingdawg-finance-agent
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "dingdawg-dingdawg-finance-agent": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "dingdawg-finance-agent"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add dingdawg-dingdawg-finance-agent --command npx --arg -y --arg dingdawg-finance-agent
# ~/.hermes/config.yaml
mcp_servers:
  dingdawg-dingdawg-finance-agent:
    command: "npx"
    args: ["-y", "dingdawg-finance-agent"]
// mcp.json
{
  "mcpServers": {
    "dingdawg-dingdawg-finance-agent": {
      "command": "npx",
      "args": [
        "-y",
        "dingdawg-finance-agent"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +30
    • Provenance: unverified → fail security
    • Known CVEs: unverified → partial security
    • Install scripts: unverified → pass security
    • MCP protocol: unverified → pass functional
    • Stability: unverified → 0.27 functional
    • Maintenance: unverified → pass functional
    • Dependency health: unverified → partial functional
    • Schema quality: unverified → fair functional
    • License: unverified → pass functional
    • Licence: MIT functional
  • 2 Aug 26 +2
    • Provenance: fail → unverified security
    • Install scripts: pass → unverified security
    • Malware scan: unverified → pass security
    • Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
    • Capabilities: pass → unverified functional
    • License: pass → unverified functional
    • Maintenance: pass → unverified functional
    • Licence: MIT functional
  • 1 Aug 26 −4
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 31 Jul 26 +12
    • Provenance: unverified → fail security
    • Malware scan: pass → unverified security
    • Install scripts: unverified → pass security
    • Dependency health: partial → unverified functional
    • Maintenance: unverified → pass functional
    • License: unverified → pass functional
    • Tool coverage: unverified → 100 functional
    • Licence: MIT functional
  • 29 Jul 26 −20
    • Tool coverage: 100 → unverified functional
    • Dependency health: unverified → partial functional
    • First check of Schema quality: unverified functional
  • 27 Jul 26 46

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 95 packages

95 packages in the resolved dependency tree · 95 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 5 exposed · ~392 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
budget_forecast ~90

Generate AI-powered budget forecasts with scenario analysis. Requires DINGDAWG_API_KEY for LLM-powered projections.

NameTypeReqDescription
assumptionsstringGrowth assumptions or market conditions
expense_historystringyesHistorical expense data (CSV or description)
forecast_monthsnumberMonths to forecast (default: 12)
revenue_historystringyesHistorical revenue data (CSV or description)

No output schema declared.

No examples provided.

compliance_check ~75

Check financial compliance against SOX, GAAP, IFRS, or AML regulations. Requires DINGDAWG_API_KEY for LLM-powered analysis.

NameTypeReqDescription
frameworksstringFrameworks to check against (SOX, GAAP, IFRS, AML)
process_descriptionstringyesFinancial process or system to check

No output schema declared.

No examples provided.

expense_categorize ~62

Free AI expense categorization with tax deduction flags. Deep LLM-powered analysis and optimization with API key.

NameTypeReqDescription
expensesstringyesExpense data — CSV, JSON, or free-text list
tax_yearstringTax year for deduction analysis

No output schema declared.

No examples provided.

financial_analysis ~95

Free AI financial ratio analysis. Returns health score, key ratios, and red flags. Deep LLM-powered modeling and recommendations available with API key.

NameTypeReqDescription
assetsnumberTotal assets
cashnumberCash and equivalents
descriptionstringFree-text financial situation description
expensesnumberAnnual expenses
liabilitiesnumberTotal liabilities
revenuenumberAnnual revenue

No output schema declared.

No examples provided.

risk_assessment ~70

AI-powered financial risk assessment for portfolios, investments, or business decisions. Requires DINGDAWG_API_KEY.

NameTypeReqDescription
descriptionstringyesInvestment, portfolio, or business description to assess
risk_tolerancestringRisk tolerance
time_horizonstringInvestment time horizon

No output schema declared.

No examples provided.