AI DCF Model: Automate Discounted Cash Flow Analysis with Claude
Discounted cash flow models are the gold standard for intrinsic valuation and the most time-consuming model to build. ClaudeFinLab's AI DCF tool delivers a complete, auditable DCF model in seconds, directly inside Claude.
What is an AI DCF Model?
A DCF (discounted cash flow) model values a company by projecting its future free cash flows and discounting them back to present value using a weighted average cost of capital (WACC). The AI version does the same calculation — but Claude handles the model construction, assumption checking, and sensitivity analysis automatically from your inputs.
ClaudeFinLab's Automated DCF Valuation Model is an MCP (Model Context Protocol) tool that plugs directly into Claude Desktop, Cursor, or any MCP-compatible AI client. You describe the company and provide projections; Claude runs the full valuation and returns structured results.
Why Traditional DCF Models Take Too Long
The typical finance team DCF workflow involves:
- Building a three-statement model from scratch or adapting a template
- Populating 5–10 years of revenue and margin projections
- Computing unlevered free cash flow line by line
- Calculating a WACC from first principles (beta, cost of equity, cost of debt, capital structure)
- Building a sensitivity table manually (usually in Excel's data table function)
- Doing it again for bull and bear cases
For a competent analyst, this takes 4–8 hours for a first pass. For a quick read on a company, that friction means many potentially high-value analyses never get done.
Key insight: AI doesn't make DCF assumptions for you — it executes the model faster once you've made them. The judgment call on revenue growth and margins is still yours.
How ClaudeFinLab's AI DCF Tool Works
Inputs (what you provide)
- Revenue projections for years 1–10, or a growth rate plus base revenue
- EBIT or EBITDA margin projections
- WACC, or component inputs: risk-free rate, equity risk premium, beta, D/E ratio
- Terminal growth rate (typically 2–3% for mature businesses)
- Shares outstanding for per-share value
- Optional: capex as % of revenue, working capital as % of revenue, tax rate
What Claude does
- Computes unlevered free cash flow for each projection year
- Discounts each year's FCF to present value
- Calculates terminal value via Gordon Growth Model
- Sums to enterprise value, deducts net debt, divides by shares
- Produces a 5×5 sensitivity table varying WACC and terminal growth rate
- Flags if any assumption looks unusual (e.g. WACC below risk-free rate)
Getting Started in 3 Steps
- Get a free API key at claudefinancelab.com
- Add the valuation MCP server to your Claude Desktop config:
{
"mcpServers": {
"claudefinlab-valuation": {
"url": "https://claudefinancelab.com/valuation/sse",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
- Ask Claude: "Run a DCF on a SaaS company with $50M revenue growing at 25% annually, 20% EBIT margins, 10% WACC, 3% terminal growth, 10M shares."
Example Output
A typical response includes:
Year 1 FCF: $8.2M → PV: $7.5M
Year 2 FCF: $10.3M → PV: $8.5M
...
Terminal Value (PV): $142M
Enterprise Value: $198M
Net Debt: ($12M)
Equity Value: $210M
Implied Share Price: $21.00
Sensitivity — Equity Value per share:
WACC: 8% 9% 10% 11% 12%
TGR 2%: $28 $23 $19 $16 $14
TGR 2.5%: $31 $25 $21 $17 $15
TGR 3%: $35 $28 $23 $19 $16
Related Tools in the Valuation Suite
The valuation MCP server includes additional tools you can use alongside the DCF model:
- Automated Three-Statement Forecasting — build the income statement, balance sheet, and cash flow statement that feed into DCF projections
- Peer Group Multiples (Comps) — cross-check your DCF intrinsic value against market multiples (EV/EBITDA, P/E)
- LBO Model Structurer — layer in leverage to compute IRR for private equity buyers
- M&A Accretion/Dilution Engine — model whether an acquisition is EPS-accretive or dilutive