Startup Finance Metrics
Runs entirely on your machine to compute startup finance metrics without sending sensitive data anywhere. You feed it bank CSVs, Stripe exports, or QuickBooks data, and it returns MRR, burn rate, runway, gross margin, CAC, LTV, and Rule of 40 calculations. Exposes two tools: computeFinancialMetrics for crunching numbers from structured inputs, and generateFinancialReport for rendering HTML and Markdown outputs with period comparisons. Uses AI to categorize bank transactions into revenue, COGS, and expense buckets, though the categorization can miss ambiguous line items. Best for founders who need investor-ready metrics before a board meeting without paying an accountant or risking data leaks to cloud services.
- tools
- 2
- transport
- STDIO
- last updated
- May 1, 2026
Tools
2 toolsPublic tool metadata for what this MCP can expose to an agent.
computeFinancialMetricsComputes startup financial metrics (runway, gross margin, CAC, LTV, etc.) from structured inputs.
Computes startup financial metrics (runway, gross margin, CAC, LTV, etc.) from structured inputs.
No parameter schema in public metadata yet.
generateFinancialReportRenders a unified HTML + Markdown report. Accepts either a single-month payload or a multi-month {"months": [...]} payload — producing one comparative report across all periods supplied.
Renders a unified HTML + Markdown report. Accepts either a single-month payload or a multi-month {"months": [...]} payload — producing one comparative report across all periods supplied.
No parameter schema in public metadata yet.
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Startup Finance Metrics (MCP Server)
An MCP (Model Context Protocol) server for analyzing startup financial health and generating metrics reports locally.
🔒 PRIVACY & SECURITY FIRST:
- Zero Cloud Risk: This tool runs 100% locally on your machine/server.
- No Data Sent Externally: Financial data is NEVER sent to any external API, cloud provider, or third-party service (including SlickBooks).
- No Data Storage: The server processes inputs in-memory and returns the metrics directly to the MCP client. No data is stored, cached, or logged.
- Strictly Read-Only: This server executes NO financial state changes. It is a strictly read-only mathematical engine.
- Strictly Local Processing: Safely integrates with Claude Desktop, Cursor, Glama, and other MCP clients while maintaining full data sovereignty over your sensitive financial inputs.
Why This Exists
Details
- Repository
- github.com/mayanktalwar0/startup-finance-metrics
- Package
startup-finance-mcp- Transport
- STDIO
- Registry
- MCP registry, active