Startup Finance Metrics

io.github.MayankTalwar0Published by GitHub account MayankTalwar0v1.1.2Updated Oct 24, 2026

An MCP server for analyzing startup financial health and generating metrics reports locally.

The publisher's own server: Finance Foundation

VerifiedSTDIODesktop onlyFinanceData & Analytics

Overview

AI-generated overview

A local MCP server that computes startup finance metrics such as runway, gross margin, CAC, LTV and Rule of 40, and renders Markdown and HTML reports.

What you can do
  • Compute startup financial metrics from structured inputs, including net burn, runway, gross margin, CAC, LTV, LTV:CAC, growth, churn, burn multiple, NRR, Rule of 40 and CAC payback
  • Return insufficient_data with missing inputs instead of guessing when figures are absent or ambiguous
  • Generate a unified Markdown and HTML report, either for one month or as a side-by-side comparison across several months
  • Work from bank, Stripe or QBO/Xero CSV exports or pasted values, with the assistant categorizing transactions into revenue, COGS, S&M, payroll and G&A
When to use it
Useful for founders or operators who need a first-pass metrics pack for a fundraise, board meeting or investor update without an accountant, and who want the numbers computed on their own machine rather than in a cloud service.
Requirements
Runs locally over stdio via uvx from the PyPI package startup-finance-mcp; uv must be installed (it fetches Python dependencies itself). No accounts, API keys or environment variables are declared. Inputs are supplied as JSON arguments, and reports are written to an output directory.
Before you install
Transaction categorization is done by the AI and can misclassify items, so review categorizations before sharing results. The report tool writes files to a chosen output directory. The README states that data stays local, is processed in memory and is not stored or logged, and that the server makes no financial state changes.

Installation

In SourceWeft

  1. Open Startup Finance Metrics in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

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

If you're a startup founder raising funds or preparing for a board meeting, investors will ask you for metrics like MRR, burn rate, gross margin, LTV:CAC, and runway — often on short notice. Most founders either don't track these consistently, or spend hours pulling numbers from bank statements and spreadsheets before every fundraise.

This tool turns your raw bank statement (or Stripe/QBO export) into a structured financial metrics report in minutes, entirely on your own machine. No accountant required for a first pass. No sensitive data leaving your computer.

What It Does

  1. Ingests Data: Accepts bank CSVs, Stripe export CSVs, QBO/Xero export CSVs, or pasted values. (For best results, provide a minimum 3-month bank statement and active user stats. Sample files are available in the test/ folder).
  2. AI Transaction Categorization: The AI classifies each bank transaction into revenue, COGS, S&M, payroll, or G&A based on the description. This step is AI-driven and can make mistakes — e.g. misclassifying a contractor payment as payroll vs. COGS, or missing an ambiguous line item. Always review the categorizations before sharing results with investors.
  3. Computes Key Metrics: Calculates Net Burn, Runway, Gross Margin, CAC, LTV, Rule of 40, and more — across one or multiple months in a single comparative report.
  4. Strict Validation: Returns insufficient_data with missing_inputs instead of hallucinating values. If data is missing or ambiguous, the engine tells you what's needed rather than guessing.
  5. Generates Reports: Creates clean, formatted Markdown and HTML reports — one unified report covering all months supplied, with side-by-side period comparison.

mcp-name: io.github.MayankTalwar0/startup-finance-metrics

Setup & Installation

Option 1: Claude Desktop (Manual Installation for Non-Developers)

Since this tool runs entirely on your own machine to protect your financial data, it requires a one-time manual setup. Good News: You do NOT need to have Python installed! The tool we use below (uv) will automatically download everything it needs invisibly in the background.

Step 1: Install uv This server uses uv (a fast Python manager) to run locally. If you don't have it installed:

  • Mac/Linux: Open your Terminal and run: curl -LsSf https://astral.sh/uv/install.sh | sh
  • Windows: Open PowerShell and run: powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Step 2: Open Claude's Configuration

  1. Open the Claude Desktop App.
  2. In the top left menu, click Claude -> Settings (or Preferences).
  3. Click on the Developer tab in the left sidebar.
  4. Click the Edit Config button. This will open a file named claude_desktop_config.json in your default text editor.

Step 3: Add the Server Replace the contents of that file with the following code (if you already have other servers, just add the startup-finance-metrics block inside your existing mcpServers):

json
{  "mcpServers": {    "startup-finance-metrics": {      "command": "uvx",      "args": [        "startup-finance-mcp"      ]    }  }}

Step 4: Restart Claude Save the file, close it, and completely restart Claude Desktop. You will now see a new "hammer" (Tools) icon in your Claude chats!

Option 2: Claude Code, Glama, or Custom Cursor setup

For CLI agents like Claude Code, or if you prefer to manually configure Glama and Cursor, use the uvx command:

For Claude Code:

bash
claude mcp add startup-finance -- uvx startup-finance-mcp

For Glama / Cursor (Custom MCP config):

bash
uvx startup-finance-mcp

Option 3: Local Development

bash
git clone https://github.com/MayankTalwar0/startup-finance-metrics.gitcd startup-finance-metricspip install -e .
# Run the server directlystartup-finance-mcp

Available MCP Tools

This server provides the following tools to the MCP client:

  1. computeFinancialMetrics(inputs_json: str): Computes startup financial metrics (runway, gross margin, CAC, LTV, etc.) from structured inputs. Called once per month when analyzing multi-month data.
  2. generateFinancialReport(metrics_json: str, output_dir: str): 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.

Using as a Standalone AI Skill

If you don't want to use the full MCP server and just want a simple prompt to use in tools like Claude Code or OpenClaw, you can find the raw skill prompt in skills/SKILL.md.

Metrics Reference

#MetricFormulaRequired inputs
1Net Burnmonthly_opex - monthly_revenuemonthly_opex, monthly_revenue
2Runwaycurrent_cash / net_burncurrent_cash; requires net_burn > 0 (else returns not_applicable: business is cash flow positive)
3Gross Margin(monthly_revenue - cogs) / monthly_revenue * 100monthly_revenue, cogs
4CACsales_marketing_spend / new_customerssales_marketing_spend, new_customers
5LTV(ARPU * gross_margin) / logo_churn_ratemonthly_revenue, active_customers, lost_customers, cogs
6LTV:CACltv / cacComputable ltv, computable cac
7Revenue Growth(monthly_revenue - prev_monthly_revenue) / prev_m... * 100monthly_revenue, prev_monthly_revenue
8Logo Churnlost_customers / active_customers * 100lost_customers, active_customers
9Burn Multiplenet_burn / (arr_end - arr_start)monthly_opex, monthly_revenue, arr_start, arr_end
10NRR(start + exp - churn - cont) / start * 100starting_mrr, expansion_mrr, churned_mrr, contraction_mrr
11Rule of 40revenue_growth_yoy_pct + operating_margin_pctrevenue_growth_yoy_pct, operating_margin_pct
12CAC Paybackcac / (ARPU * gross_margin)Computable cac, monthly_revenue, active_customers, computable gross_margin

License

MIT

Built By SlickBooks

Built by Mayank, founder of SlickBooks. SlickBooks provides managed bookkeeping, bookkeeping automation, financial forecast automation, and custom finance agents.

Source: README.md at commit 69ab71c

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.1.2LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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