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Intangible Asset Valuation

Intangible Asset Valuation

Intangible Asset Valuation Engine

A complete intangible asset valuation library implementing 124+ functions from the Intangible Asset Valuation textbook — Python library, MCP server, and AI-agent skills.

CI MCP Registry Glama MCP tools PyPI Python 3.11+ Coverage Docs OpenSSF Scorecard License: MIT

Overview

A production-grade Python library for intangible asset valuation, implementing every formula from the Intangible Asset Valuation textbook by Simon Mak, William Yuen, Paul Wu, and Wayne Hu (Valuation in Practice Series, Ascent Partners). Designed for developers, financial analysts, accountants, and AI agents who need auditable, structured valuation computations for ASC 805 / IFRS 3 compliant workflows.

Three-layer architecture:

graph TB
    subgraph Library["Python Library"]
        MOD["22 Modules<br/>124+ Functions"] --> VR["ValuationResult"]
    end
    subgraph MCP["MCP Server"]
        VR --> SVR["FastMCP Server<br/>14 folded tools"]
    end
    subgraph Skills["AI-agent skills"]
        SVR --> AV["Asset Valuation"]
        SVR --> DR["Discount Rates"]
        SVR --> PPA["Purchase Price Allocation"]
        SVR --> IMP["Impairment Testing"]
    end
    style Library fill:#0083AB,color:#fff
    style MCP fill:#4CAF50,color:#fff
    style Skills fill:#9C27B0,color:#fff
  1. Python Library — 22 modules, 124+ typed functions, all returning ValuationResult (value + assumptions + steps + formula reference)

  2. MCP Server — 14 folded tools (124+ formulas) for AI agents via stdio and hosted Streamable HTTP

  3. AI-agent skills — 4 skill definitions with workflow guidance for valuation domains

Related MCP server: ReverseFCFFMCP

Installation

pip install intangible-valuation          # library only
pip install intangible-valuation[mcp]     # + MCP server
pip install intangible-valuation[dev]     # + pytest, ruff, mypy

Quick Start (≤ 5 minutes)

Fastest path: no install — point an MCP client at the hosted endpoint https://intangible-valuation.ascent-partners.com/api/mcp (Streamable HTTP); or one line locally: pip install "intangible-valuation[mcp]".

Python Library

from intangible_valuation.core.time_value import present_value
from intangible_valuation.core.discount_rates import build_up_discount_rate
from intangible_valuation.income_methods.relief_from_royalty import relief_from_royalty

# Present Value
result = present_value(future_value=500_000, discount_rate=0.10, periods=8)
print(f"PV: ${result.value:,.2f}")  # $233,253.69

# Build-Up Discount Rate
rate = build_up_discount_rate(
    risk_free_rate=0.04, equity_risk_premium=0.06,
    size_premium=0.02, industry_risk_premium=0.01, specific_risk_premium=0.03,
)
print(f"Discount rate: {rate.value:.2%}")  # 16.00%

# Relief from Royalty — Patent Valuation
value = relief_from_royalty(
    revenue_projections=[1_000_000, 1_100_000, 1_200_000, 1_300_000, 1_400_000],
    royalty_rate=0.05, discount_rate=0.12, tax_rate=0.25, useful_life=5,
)
print(f"Patent value: ${value.value:,.2f}")

MCP Server (for AI Agents)

The server exposes 14 tools, each folding a family of formulas behind a method argument — time value, discount rates, cost/market/income approaches, IP, technology, customer and human-capital assets, goodwill and purchase price allocation, impairment, royalty analysis, uncertainty (Monte Carlo / decision trees), and transfer-pricing / litigation.

Local (stdio):

pip install "intangible-valuation[mcp]"
python mcp_server/server.py

Hosted (Streamable HTTP) — no install, no API key:

https://intangible-valuation.ascent-partners.com/api/mcp

OpenCode — add to opencode.json:

"intangible-valuation": {
  "type": "remote",
  "url": "https://intangible-valuation.ascent-partners.com/api/mcp",
  "timeout": 60000
}

Claude Desktop / Cursor — add the HTTP URL https://intangible-valuation.ascent-partners.com/api/mcp as an MCP server, or run the stdio entrypoint above.

MCP Registry & Glama — published as com.ascent-partners/intangible-valuation. The server.json manifest declares both the hosted streamable-http remote and a PyPI stdio package, and glama.json carries the Glama listing. Install and run the stdio server from either registry:

pip install "intangible-valuation[mcp]" && intangible-valuation-mcp   # pip
uvx --from intangible-valuation intangible-valuation-mcp              # uvx (no install)

Listed on Glama and the Official MCP Registry.

Prompts and resources. Besides the 14 tools, the server offers three guided prompts (purchase_price_allocation, value_ip_asset, impairment_test) and a machine-readable method catalog at intangible-valuation://methods, so agents can see every method's required parameters before calling a tool.

AI-agent skills

Copy the skills/ directory to your agent's skills folder:

  • asset-valuation — Patents, trademarks, technology, customer relationships, human capital

  • discount-rate-construction — Build-up, CAPM, WACC, risk premiums, adjustments

  • purchase-price-allocation — ASC 805 / IFRS 3 PPA workflow, goodwill calculation

  • impairment-testing — ASC 350, IAS 36 goodwill and intangible impairment

Valuation Methods by Category

Category

Methods

Chapter

Time Value

PV, FV, annuity, perpetuity, growing annuity, terminal value

2

Discount Rates

Build-up, CAPM, WACC, TAB, control premium, DLOM, currency adjustment

2

Statistics

Monte Carlo, decision trees, regression

2

Cost Approach

Reproduction cost, replacement cost

3

Market Approach

Comparable transactions, royalty capitalization

3

Income Methods

Relief from Royalty, MPEEM, incremental cash flow

4

Intellectual Property

Patent, trademark, copyright, trade secret

5

Royalty Analysis

Benchmarking, 25% rule, adjustment

6

Technology

Developed technology, software, data assets, platforms

7

Customer-Related

Customer relationships, distribution network, non-compete

8

Human Capital

Assembled workforce, key person

9

Goodwill & PPA

Goodwill calculation, PPA waterfall

10

Impairment

Goodwill & intangible impairment (ASC 350 / IAS 36)

11

Monte Carlo

Simulation, sensitivity analysis

15

Decision Trees

Backward induction

16

Litigation

Lost profits, pre-judgment interest

17

Transfer Pricing

CUP method, OECD guidelines

18

The three approaches

flowchart TB
    ASSET["Target intangible asset"] --> COST["Cost approach<br/>reproduction · replacement"]
    ASSET --> MKT["Market approach<br/>comparable transactions · royalty capitalisation"]
    ASSET --> INC["Income approach<br/>relief-from-royalty · MPEEM · incremental cash flow"]
    COST --> R["ValuationResult"]
    MKT --> R
    INC --> R
    R --> PPA["Purchase price allocation (ASC 805 / IFRS 3)"]
    R --> IMP["Impairment testing (ASC 350 / IAS 36)"]

Distribution

flowchart LR
    PKG["intangible-valuation<br/>22 modules · 124+ functions"] --> L["pip install intangible-valuation"]
    PKG --> MP["pip install intangible-valuation[mcp]<br/>→ 14-tool MCP server"]
    MP --> T1["stdio (local)"]
    MP --> T2["hosted Streamable HTTP<br/>intangible-valuation.ascent-partners.com/api/mcp"]

Why This Library?

  • Auditable — Every function returns ValuationResult with value, method, formula reference, assumptions, and step-by-step calculation breakdown

  • Textbook-accurate — All 124+ formulas verified against book example values with 1056 unit tests

  • AI-ready — MCP server (14 folded tools) and Skills for seamless AI agent integration

  • Complete coverage — All three valuation approaches (cost, market, income) across 19 chapters

  • Open source — MIT license, extensible, well-documented

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run with coverage
pytest --cov=src --cov-report=term-missing

# Lint
ruff check .

# Type check
mypy src/

# Regenerate the MCP stdio server from the canonical surface
python scripts/generate_mcp.py

Note: CI and deployment run through the APG workbench pipeline.

Documentation

Companion Textbook

Intangible Asset Valuation: A Comprehensive Guide to Valuing Brands, IP, Technology, and Human Capital
Theory, Methods, Regulation, and Practice — Valuation in Practice Series by Ascent Partners
By Simon Mak, William Yuen, Paul Wu, Wayne Hu · 176 pages · 19 chapters · 3 appendices

Citing This Project

@software{intangible_valuation_engine,
  author = {Mak, Simon and Yuen, William and Wu, Paul and Hu, Wayne},
  title = {Intangible Asset Valuation Engine},
  year = {2026},
  url = {https://github.com/simonmak-ascent/intangible-valuation},
  license = {MIT},
}

Based on formulas from the Intangible Asset Valuation textbook.

Use with Context7

Up-to-date Intangible Asset Valuation Engine documentation is indexed on Context7, so coding agents can pull it into context on demand. With the Context7 MCP server or ctx7 CLI installed, name the library in your prompt:

use library /simonmak-ascent/intangible-valuation for API and docs

License

MIT — see LICENSE.


By Ascent Partners — part of the Valuation in Practice Series.

If this saves you time, a ⭐ on GitHub helps others find it.

Available Tools

14 tools
valuation_complianceTransfer Pricing & LitigationA
Read-onlyIdempotent
Inspect

Transfer pricing and litigation: the Comparable Uncontrolled Price arm's-length range and patent infringement damages with pre-judgment interest. Method selects the formula. Use for OECD transfer-pricing pricing of intercompany intangibles and for patent infringement damages awards. For royalty-rate benchmarking to set a rate use valuation_royalty_analysis; for the substantive asset valuation use valuation_ip or valuation_income_methods. Per method: cup_transfer_price needs controlled_price + uncontrolled_prices; patent_infringement_damages needs lost_profits_or_royalty + infringement_period + discount_rate + prejudgment_interest_rate. uncontrolled_prices must contain at least one comparable price for the arm's-length range. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), discount_rate, controlled_price, infringement_period, +3 more. Returns: error, steps, value, method, +3 more

valuation_cost_approachCost ApproachA
Read-onlyIdempotent
Inspect

Cost approach: depreciated reproduction cost from a cost breakdown and depreciated replacement cost with equivalent utility, both reduced by obsolescence. Method selects the formula. Use when no income or market evidence exists, or to corroborate income and market indications for internally developed intangibles. For income-based indications use valuation_income_methods; for market evidence use valuation_market_approach. Per method: reproduction_cost needs development_costs (optional: obsolescence_factors); replacement_cost needs current_cost (optional: obsolescence_factors). obsolescence_factors values are decimals that are summed and applied to the cost base; omit them for no obsolescence. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), current_cost, development_costs, obsolescence_factors. Returns: error, steps, value, method, +3 more

valuation_customerCustomer-Related AssetsA
Read-onlyIdempotent
Inspect

Customer-related intangibles: customer relationships with attrition, distribution networks by channel profitability, and non-compete agreements on protected profits. Method selects the formula. Use for customer relationships, distribution networks, and non-compete assets; customer_relationships projects multi-period revenue with a retention rate. For the workforce and key-person assets use valuation_human_capital; for technology assets use valuation_technology. Per method: customer_relationships needs customer_count + avg_revenue_per_customer + retention_rate + profit_margin + discount_rate + projection_period; distribution_network needs channel_count + revenue_per_channel + channel_margin + useful_life + discount_rate; non_compete needs protected_revenue + profit_margin + term + enforcement_probability + discount_rate. retention_rate and enforcement_probability are in [0,1]; projection_period sets the number of discounted periods. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), term, useful_life, channel_count, +10 more. Returns: error, steps, value, method, +3 more

valuation_discount_rateDiscount & Capitalization RatesA
Read-onlyIdempotent
Inspect

Construct discount and capitalization rates: build-up, CAPM, WACC, tax-amortization benefit, control premium, Finnerty DLOM, and currency/country-risk adjustment. Method selects the formula. Use to derive the rate that feeds every income-based method; build_up and capm estimate cost of equity, wacc blends debt and equity. For a cross-border rate with currency and country premia use method currency_adjusted; for the cash flows the rate discounts use valuation_time_value. Per method: build_up needs risk_free_rate + equity_risk_premium (optional: size_premium, industry_risk_premium, specific_risk_premium); capm needs risk_free_rate + beta + market_return; wacc needs equity_value + debt_value + cost_of_equity + cost_of_debt + tax_rate; tax_amortization_benefit needs discount_rate + useful_life + tax_rate + asset_value; control_premium needs minority_price + control_price; dlom_finnerty needs restricted_period + volatility + risk_free_rate; currency_adjusted needs base_rate (optional: currency_risk_premium, country_risk_premium). All rates and premiums are decimals; wacc requires both equity_value and debt_value, and dlom_finnerty volatility is an annualized decimal. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), beta, tax_rate, base_rate, +19 more. Returns: error, steps, value, method, +3 more

valuation_goodwill_ppaGoodwill & Purchase Price AllocationA
Read-onlyIdempotent
Inspect

Goodwill and purchase price allocation: goodwill as the residual, a full PPA waterfall across identified intangibles, and useful-life estimation. Method selects the formula. Use for ASC 805 / IFRS 3 business combinations; purchase_price_allocation allocates consideration to identified intangibles with the remainder to goodwill. For subsequent goodwill and intangible impairment testing use valuation_impairment; for individual intangible fair values feed valuation_ip, valuation_technology or valuation_customer into the allocation. Per method: goodwill needs purchase_price + fair_value_net_identifiable_assets; purchase_price_allocation needs purchase_price + tangible_assets_fv + identified_intangibles (optional: liabilities_fv); useful_life needs asset_type (optional: legal_life, economic_factors, obsolescence_rate). identified_intangibles values are summed before goodwill is taken as the residual; liabilities_fv reduces net identifiable assets. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), asset_type, legal_life, liabilities_fv, +6 more. Returns: error, steps, value, method, +3 more

valuation_human_capitalHuman CapitalA
Read-onlyIdempotent
Inspect

Human capital: assembled-workforce value by replacement cost and key-person value from revenue contribution and departure risk. Method selects the formula. Use for assembled workforce and key-person intangibles; assembled_workforce nets training and attrition into a replacement cost. For customer-related assets use valuation_customer; for technology assets use valuation_technology. Per method: assembled_workforce needs employee_count + avg_replacement_cost + training_cost + productivity_factor + attrition_rate; key_person needs revenue_contribution + replacement_cost + departure_probability + discount_rate. attrition_rate is in [0,1]; productivity_factor scales the replacement cost (1.0 = parity). Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), discount_rate, training_cost, attrition_rate, +6 more. Returns: error, steps, value, method, +3 more

valuation_impairmentImpairment TestingA
Read-onlyIdempotent
Inspect

Impairment testing: goodwill impairment and intangible impairment under US GAAP (ASC 350) or IFRS (IAS 36). Method selects the formula. Use for annual or triggering-event impairment testing; goodwill_impairment compares a reporting unit's carrying value with its fair value. To compute the initial goodwill or allocation use valuation_goodwill_ppa; for the underlying asset fair values use the relevant asset-type tool. Per method: goodwill_impairment needs carrying_value + fair_value (optional: reporting_unit, standard); intangible_impairment needs carrying_value (optional: fair_value, recoverable_amount, standard). fair_value is required for ASC350; recoverable_amount is required for IAS36. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), standard, fair_value, carrying_value, +2 more. Returns: error, steps, value, method, +3 more

valuation_income_methodsIncome MethodsA
Read-onlyIdempotent
Inspect

Income approach: relief from royalty, multi-period and single-period excess earnings, incremental cash flow, and contributory asset charges. Method selects the formula. Use for the income-approach arithmetic: relief_from_royalty for IP with observable royalty rates, and excess earnings (mpeem or single_period_excess_earnings) for the residual intangible. For a complete asset-specific valuation of customer, technology, IP or workforce assets, prefer the dedicated valuation_customer, valuation_technology, valuation_ip and valuation_human_capital tools. For royalty-rate inputs use valuation_royalty_analysis; for asset-specific income valuations use valuation_customer, valuation_technology, valuation_ip or valuation_human_capital; for cost or market indications use valuation_cost_approach and valuation_market_approach. Per method: relief_from_royalty needs revenue_projections + royalty_rate + discount_rate + tax_rate + useful_life (optional: tab_enabled); mpeem needs cash_flow_projections + contributory_asset_charges + discount_rate + tax_rate (optional: tab_enabled); single_period_excess_earnings needs normalized_earnings + contributory_asset_charges + capitalization_rate; incremental_cashflow needs cash_flows_with + cash_flows_without + discount_rate; contributory_asset_charges needs assets. cash_flow_projections and contributory_asset_charges must be period-aligned; cash_flows_with and cash_flows_without must be equal length. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), assets, tax_rate, tab_enabled, +10 more. Returns: error, steps, value, method, +3 more

valuation_ipIntellectual PropertyA
Read-onlyIdempotent
Inspect

Intellectual property: risk-adjusted patent value, trademark/brand value, copyright income value, and trade-secret value under secrecy risk. Method selects the formula. Use to value a specific IP right; patent weights projected cash flows by probability of success, trademark uses brand strength to set the royalty. For technology, software, data, and platform assets use valuation_technology; for customer and workforce assets use valuation_customer and valuation_human_capital. Per method: patent needs remaining_life + cash_flow_projections + probability_of_success + discount_rate (optional: comparable_license_rates); trademark needs revenue + profit_margin + brand_strength_index + discount_rate + useful_life (optional: brand_method); copyright needs projected_revenue + useful_life + discount_rate + royalty_rate; trade_secret needs development_cost + economic_life + competitive_advantage_period + discount_rate + secrecy_probability. cash_flow_projections for patent run over remaining_life. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), revenue, useful_life, brand_method, +13 more. Returns: error, steps, value, method, +3 more

valuation_market_approachMarket ApproachA
Read-onlyIdempotent
Inspect

Market approach: value from comparable transaction revenue multiples or capitalize a royalty stream into a perpetuity value. Method selects the formula. Use when reliable comparable transactions or royalty rates exist for the subject asset. For income-based excess earnings use valuation_income_methods; for royalty-rate selection and adjustment use valuation_royalty_analysis. Per method: comparable_transactions needs comparables + subject_revenue (optional: adjustments); royalty_capitalization needs revenue + royalty_rate + discount_rate. Each comparable is {revenue, multiple}; comparable_transactions applies the comparable multiple to subject_revenue. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), revenue, adjustments, comparables, +3 more. Returns: error, steps, value, method, +3 more

valuation_royalty_analysisRoyalty Rate AnalysisA
Read-onlyIdempotent
Inspect

Royalty analysis: benchmark royalty-rate ranges by IP type and industry, adjust a base rate for deal factors, and apply the 25% rule of thumb. Method selects the formula. Use to select and support a royalty rate before a relief-from-royalty or royalty-capitalization valuation. To apply the chosen rate in a valuation use valuation_income_methods (relief_from_royalty) or valuation_market_approach (royalty_capitalization); for transfer-pricing pricing use valuation_compliance. Per method: benchmark needs ip_type + industry (optional: comparable_database); adjust needs base_royalty_rate + adjustment_factors; twenty_five_percent_rule needs licensee_expected_profit (optional: profit_attribution_to_ip). adjustment_factors multiply the base rate, so values above 1.0 raise the rate. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), ip_type, industry, base_royalty_rate, +4 more. Returns: error, steps, value, method, +3 more

valuation_simulationUncertainty & SensitivityA
Read-onlyIdempotent
Inspect

Uncertainty analysis: Monte Carlo valuation, Monte Carlo sensitivity ranking, decision-tree expected values, and one-at-a-time sensitivity analysis. Method selects the formula. Use to quantify and stress the uncertainty around a point valuation; monte_carlo simulates all listed inputs, monte_carlo_sensitivity ranks the drivers. For a single deterministic point value use the relevant valuation tool; sensitivity_analysis varies one parameter of a core function only. Per method: monte_carlo needs input_distributions (optional: iterations, seed); monte_carlo_sensitivity needs base_params + distributions (optional: iterations, seed); decision_tree needs tree; sensitivity_analysis needs function_name + parameter_name + parameter_range + fixed_parameters. monte_carlo_sensitivity requires iterations between 1000 and 100000. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), seed, tree, iterations, +7 more. Returns: error, steps, value, method, +3 more

valuation_technologyTechnology AssetsA
Read-onlyIdempotent
Inspect

Technology assets: developed technology under life-cycle risk, software under cost and income, data assets with a quality adjustment, and platforms with network effects. Method selects the formula. Use for developed technology, software, data, and platform intangibles; developed_technology and software blend cost and income evidence. For patents, trademarks, copyrights, and trade secrets use valuation_ip; for customer relationships use valuation_customer. Per method: developed_technology needs rd_costs + life_cycle_stage + competitive_advantage + discount_rate + cash_flow_projections; software needs development_cost + maintenance_cost + user_base + revenue_model + useful_life + discount_rate; data_asset needs acquisition_cost + quality_score + revenue_contribution + useful_life + discount_rate; platform needs network_size + network_effects_coefficient + revenue_per_user + growth_rate + discount_rate. cash_flow_projections for developed_technology run over the remaining useful life. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), rd_costs, user_base, growth_rate, +14 more. Returns: error, steps, value, method, +3 more

valuation_time_valueTime Value of MoneyA
Read-onlyIdempotent
Inspect

Time value of money: discount or compound a single sum, value level and growing annuities and perpetuities, and compute a terminal value by Gordon growth or exit multiple. Method selects the formula. Use to move cash flows through time or to value a terminal value in a DCF; combine with a rate from valuation_discount_rate. For uneven multi-period cash flows use valuation_income_methods; for rate construction use valuation_discount_rate. Per method: present_value needs future_value + discount_rate + periods; future_value needs present_value + discount_rate + periods; annuity_pv needs payment + discount_rate + periods; perpetuity_pv needs payment + discount_rate; growing_annuity_pv needs payment + discount_rate + growth_rate + periods; terminal_value_gordon_growth needs final_year_cashflow + perpetual_growth_rate + discount_rate; terminal_value_exit_multiple needs final_year_cashflow + exit_multiple. Rates and growth are decimals (0.10 = 10%); for terminal_value_gordon_growth the discount rate must exceed the perpetual growth rate. Only method is required; all other parameters are method-dependent — supply those the selected method names and omit the rest (defaults apply where defined). Rates and premiums are decimals (0.10 = 10%). Pure arithmetic: no I/O and no external calls, rounded to 2 decimals; parameters belonging to other methods are accepted and ignored. An unknown method, or a missing method-required parameter, returns an error instead of a value.

Inputs: method (required), payment, periods, growth_rate, +6 more. Returns: error, steps, value, method, +3 more

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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    TDQS

    A4.7/5.0

    Scored across 14 tools

    Disambiguation4/5

    Tools are cleanly partitioned by valuation subdomain (discount rates, cost/market/income approaches, asset types, PPA, impairment, simulation), and every description explicitly states when to prefer another tool. The only overlap is between valuation_income_methods and the asset-specific tools (valuation_ip, valuation_technology, valuation_customer), which the descriptions acknowledge and guide around, so boundaries are mostly distinct but require careful reading.

    Naming Consistency5/5

    All 14 tools use a single predictable snake_case convention with the uniform valuation_ prefix followed by a domain noun. There is no mixing of camelCase, verb styles, or naming schemes.

    Tool Count5/5

    14 tools is well within the ideal 3-15 range and each tool groups a coherent family of methods (e.g. all income-approach formulas together, all rate construction together). No tool feels redundant or missing at the set level, and the method-parameter pattern keeps the surface compact.

    Completeness5/5

    The surface covers the full intangible-valuation lifecycle: discount-rate construction, time value, cost, market, and income approaches, asset-specific valuations (IP, technology, customer, human capital), royalty analysis, transfer-pricing/litigation, PPA/goodwill, impairment, and uncertainty simulation. There are no obvious dead ends for the stated domain.

    Maintenance

    ActivityActive
    ResponsivenessOutdated data

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      license
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      C
      maintenance
      Financial model factory MCP server: turns a spec into a live-formula Excel workbook. 14 templates (LBO, DCF, M\&A, IPO, restructuring, project finance, NPL, structured credit, 3-statement) with every cell formulated and every number source-traced to its document page.
      3
      -
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables reverse DCF/FCFF valuations, solving for required margins, growth, or reinvestment to achieve a target enterprise value, with forward DCF, consistency validation, feasibility grids, and automated evals.
      -
    • A
      license
      A
      quality
      C
      maintenance
      Enables agents to evaluate real financing decisions through deterministic tools for IRR, NPV, payback, working capital, break-even, and sensitivity analysis.
      8
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Startup valuation calculators for AI agents: 14 MCP tools covering 80+ formulas from the Startup Valuation textbook — probability, time value, CAPM, pre-revenue methods (Scorecard, Berkus, VC Method), options, comparables, SaaS, marketplace, fintech, biotech, hardware, international, stakeholder equity, and emerging methods.
      14
      3
      MIT