# Ascent Partners Startup Valuation MCP server

Source: https://glimind.com/server/mcp-registry%2Fcom.ascent-partners%2Fstartup-valuation
Registry id: `mcp-registry/com.ascent-partners/startup-valuation`
Status: unknown (checked 2026-10-26T11:59:49.258Z)

## Measurements (30 days)

- Uptime: 98.81%
- Checks: 2610
- Outages (90 days): 19

## Install

```json
{
  "mcpServers": {
    "ascent-partners-startup-valuation-mcp-se": {
      "type": "http",
      "url": "https://startup-valuation.ascent-partners.com/api"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http ascent-partners-startup-valuation-mcp-se https://startup-valuation.ascent-partners.com/api
```

## Tools (18)

- `black_scholes`: Black-Scholes option pricing for startup equity.
- `scenario_analysis`: Scenario analysis for expected value.
- `scorecard_valuation`: Scorecard method for pre-revenue startup valuation.
- `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 
- `valuation_biotech`: Risk-adjusted biotech valuation: peak sales, decision-tree expected value, and full pipeline rNPV across drugs. Method selects the model. Use for pharma/drug pi
- `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 blendi
- `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 ex
- `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 earl
- `valuation_emerging`: Modern and alternative valuation: SAFE conversion (discount, cap, expected value), token valuation (equation of exchange, NVT), ESG adjustments (rate, premium, 
- `valuation_fintech`: Value and size fintech business models: payment revenue, lending valuation, payment-processor DCF, and neobank customer-based valuation. Method selects the mode
- `valuation_hardware`: Hardware and deep-tech valuation: TRL-risk-adjusted valuation, gross margin, and break-even volume. Method selects the metric. Use for hardware and deep tech wi
- `valuation_international`: Cross-border adjustments: purchasing-power parity, country risk premium, and international CAPM. Method selects the adjustment. Use for cross-border cash flows 
- `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 
- `valuation_probability`: Compute expected value and probability-weighted outcomes for startup scenarios: discrete E[X], joint probability of sequential events, probability-weighted valu
- `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 
- `valuation_stakeholder`: Allocate value across stakeholders and equity classes: single-round dilution, OPM common stock, PWERM, liquidation value, M&A synergy, employee-option values, v
- `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 w
- `vc_method_post_money`: VC method post-money valuation.

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.