MCP For Claude Marketplace
Accelerator Portfolio Valuation Engine

Accelerator Portfolio Valuation Engine MCP Connector for Claude

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Determines the most statistically sound valuation methodology and price range for portfolio companies.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides an intelligent decision engine for accelerator managers. It connects AI agents to specialized valuation models to determine the most appropriate methodology--such as Scorecard Method or Comparable Multiples--based on company stage, revenue, and growth. Using select_valuation_method, agents can identify the best approach, while estimate_valuation_range provides concrete USD price ranges. For industry-specific context, get_industry_benchmarks delivers standard multipliers and volatility factors.

valuationacceleratorfinancestartupmetrics

3 tools expose this connector's capabilities to your AI agent.

estimate_valuation_range

Calculates a projected valuation range in USD based on the selected method and financial inputs

get_industry_benchmarks

Retrieves standard valuation coefficients and multiplier ranges for specific asset types and stages

select_valuation_method

g., Scorecard, Multiples, DCF) best fits a startup based on its stage, revenue, and industry. Determines the most appropriate valuation methodology for a given company profile

See how to talk to your AI agent using Accelerator Portfolio Valuation Engine.

What is the best way to value a Pre-Seed software startup with $0 revenue?

For a Pre-Seed software startup with no revenue, the Scorecard Method is the most appropriate approach to account for team and market potential.

Calculate the valuation range for a Growth stage company with $5M revenue and 40% growth.

Based on the Growth stage and $5M revenue, the estimated valuation range is $25,000,000 to $45,000,000, with a midpoint of $35,000,000.

What are the typical benchmarks for a Software company in the Early stage?

For an Early stage Software company, the average multiple is 6.5x with a standard deviation of 1.2.

The engine uses `select_valuation_method` to analyze the company's stage, revenue, and asset type to pick the most reliable model, such as the Scorecard Method for early-stage startups.

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