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Startup Valuation MCP Server

by FastDrop

MCP Verified 1 hour ago Registry import free

Startup valuation for AI agents: 14 tools, 80+ pre-revenue formulas.

Startup valuation for AI agents: 14 tools, 80+ pre-revenue formulas. Official MCP Registry: io.github.simonmak-ascent/startup-valuation@2.1.1. Package/stdio server - no remote endpoint to probe.

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Package server from the official registry (no remote probe).

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.github.simonmak-ascent/startup-valuation and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 14 Oct 2026. Not supplied by the maker.

  • valuation_probability

    Compute expected value and probability-weighted outcomes for startup scenarios: discrete E[X], joint probability of sequential events, probability-weighted value, VC portfolio expected return, Poisson

  • valuation_time_value

    Discount, compound, and forecast value over time: single future value PV, net present value of a cash-flow stream, annuity present value, discounted cash flow with a Gordon terminal value, constant-ra

  • valuation_capm

    Estimate the cost of capital: standard CAPM, startup-adjusted CAPM with size and illiquidity premiums, portfolio beta from weighted asset betas, and WACC blending after-tax cost of equity and debt. Me

  • valuation_core

    The textbook's pre-revenue methods: Scorecard, Berkus, Risk-Factor Summation, VC Method (post- and pre-money), and exit terminal value. Use these first for early-stage startups. Method selects the for

  • valuation_advanced

    Advanced techniques: Black-Scholes call value, binomial-tree option value, and scenario analysis. Method selects the technique. For a quick expected value over arbitrary outcome lists, prefer valuatio

  • valuation_comparables

    Market multiples from comparables: P/E, P/S, EV/EBITDA, EV/Revenue, and a regression-adjusted multiple. Method selects the ratio. Use when public comparables exist; for pre-revenue or private startups

  • valuation_saas

    SaaS unit economics and valuation: LTV, CAC, MRR, ARR, net revenue retention, magic number, Rule of 40, CAC payback, and ARR revenue-multiple valuation. Method selects the metric. Use for subscription

  • valuation_marketplace

    Marketplace health and valuation: take rate, GMV revenue-multiple valuation, buyer retention, and network density. Method selects the metric. Use for two-sided transaction marketplaces; for subscripti

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