startup-finance-metrics
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| computeFinancialMetricsA | Computes startup financial metrics from structured data. Args: inputs_json: A JSON string containing financial inputs. Preferred: pre-categorized values like 'monthly_revenue', 'monthly_opex', 'cogs', 'sales_marketing_spend', 'business_type', etc. Also accepts a raw 'bank_csv' blob as fallback (basic totals only). Returns: JSON string containing computed metrics and missing inputs diagnostics. |
| generateFinancialReportA | Generates a single unified HTML + Markdown financial report and saves them to disk. Args:
metrics_json: JSON string. Two accepted shapes:
1. Single-month: the direct output from |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| analyzeFinances | Prompt template to analyze startup finances like an expert CFO. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| get_coaching_templates | Provides financial coaching templates and advice rules. |
| get_validation_rules | Provides strict validation rules for the metrics engine. |
| get_worked_example | Provides a worked example of financial metric computation. |
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