dingdawg-finance-agent
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DINGDAWG_API_KEY | No | Your DingDawg API key for accessing the financial analysis services |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| financial_analysisA | Free AI financial ratio analysis. Returns health score, key ratios, and red flags. Deep LLM-powered modeling and recommendations available with API key. |
| budget_forecastA | Generate AI-powered budget forecasts with scenario analysis. Requires DINGDAWG_API_KEY for LLM-powered projections. |
| compliance_checkA | Check financial compliance against SOX, GAAP, IFRS, or AML regulations. Requires DINGDAWG_API_KEY for LLM-powered analysis. |
| expense_categorizeB | Free AI expense categorization with tax deduction flags. Deep LLM-powered analysis and optimization with API key. |
| risk_assessmentA | AI-powered financial risk assessment for portfolios, investments, or business decisions. Requires DINGDAWG_API_KEY. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool targets a distinct financial domain: compliance (regulatory rules), analysis (ratio health), forecasting (budget scenarios), categorization (expense flags), and risk assessment (portfolio/business risk). No two tools overlap in purpose, and their descriptions reinforce clear boundaries.
All tool names follow a consistent noun_verb/verb_noun pattern using snake_case: compliance_check, financial_analysis, budget_forecast, expense_categorize, risk_assessment. The pattern is predictable and consistent, matching the style of well-organized MCP servers.
With 5 tools, the server is well-scoped for a financial agent, covering common user requests without being bloated or minimal. Each tool has a clear role, and the count is squarely within the recommended range for a focused server.
The tool surface covers the major financial workflows an agent might need: compliance verification, ratio analysis, forecasting, expense tracking, and risk assessment. Minor gaps exist, such as no dedicated tool for tax estimation or investment portfolio management, but these are beyond the core scope and agents can typically work around them.