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Glama
MayankTalwar0

startup-finance-metrics

by MayankTalwar0
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
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 computeFinancialMetrics. 2. Multi-month (preferred when user supplies multiple months of data): { "source": "...", "business_type": "saas", "industry_confidence": "high|medium|low", "industry_reasoning": "Why this industry was chosen, or why uncertain.", "period_label": "March 2026 – May 2026", "months": [ {"period": "March 2026", ...computeFinancialMetrics output for March}, {"period": "April 2026", ...computeFinancialMetrics output for April}, {"period": "May 2026", ...computeFinancialMetrics output for May} ] } Always produce ONE unified report covering all months the user supplied. Do NOT generate one report per month. output_dir: Directory to save reports to. Default is current directory. Returns: JSON with paths to both report files and the markdown content inline.

Prompts

Interactive templates invoked by user choice

NameDescription
analyzeFinances Prompt template to analyze startup finances like an expert CFO.

Resources

Contextual data attached and managed by the client

NameDescription
get_coaching_templatesProvides financial coaching templates and advice rules.
get_validation_rulesProvides strict validation rules for the metrics engine.
get_worked_exampleProvides a worked example of financial metric computation.
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TDQS

A4.5/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: one computes financial metrics from input data, the other generates a report from those metrics. No overlap or ambiguity.

Naming Consistency5/5

Both tool names follow a consistent verb_noun pattern using camelCase: computeFinancialMetrics and generateFinancialReport. No mixing of conventions.

Tool Count3/5

With only 2 tools, the server is minimally scoped. While the tools cover the core workflow, the count is at the lower boundary of what is reasonable for a finance metrics domain.

Completeness3/5

The tools cover computing metrics and generating reports, but lack operations for data input management, historical tracking, or comparisons. Some notable gaps exist.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources