Intangible asset valuation library (124+ formulas) with a 14-tool MCP server and AI-agent skills — IP, technology, customer, goodwill, PPA, impairment
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add intangible-valuation -- uvx intangible-valuation-mcp{
"mcpServers": {
"intangible-valuation": {
"command": "uvx",
"args": ["intangible-valuation-mcp"]
}
}
}Resumen de MCP Servers
# Intangible Asset Valuation Engine
<!-- mcp-name: io.github.simonmak-ascent/intangible-valuation -->
> **A complete intangible asset valuation library** implementing 124+ functions from the *Intangible Asset Valuation* textbook — Python library, MCP server, and AI-agent skills.
[](https://github.com/simonmak-ascent/intangible-valuation/actions/workflows/ci.yml)
[](https://registry.modelcontextprotocol.io/v0/servers?search=io.github.simonmak-ascent/intangible-valuation)
[](https://glama.ai/mcp/servers/simonmak-ascent/intangible-valuation)
[](https://intangible-valuation.simonmak.com/api/mcp)
[](https://pypi.org/project/intangible-valuation/)
[](https://www.python.org/downloads/)
[](https://github.com/simonmak-ascent/intangible-valuation/actions/workflows/ci.yml)
[](https://intangible-valuation.simonmak.com)
[](https://scorecard.dev/viewer/?uri=github.com/simonmak-ascent/intangible-valuation)
[](https://opensource.org/licenses/MIT)
## Overview
A production-grade Python library for intangible asset valuation, implementing every formula from the **[Intangible Asset Valuation](https://www.amazon.com/Intangible-Asset-Valuation-Comprehensive-Technology/dp/B0FZ8742R1)** 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:**
```mermaid
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
## Installation
```bash
pip install intangible-valuation # library only
pip install intangible-valuation[mcp] # + MCP server
pip install intangible-valuation[dev] # + pytest, ruff, mypy
```
## Quick Start
### Python Library
```python
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):**
```bash
pip install "intangible-valuation[mcp]"
python mcp_server/server.py
```
**Hosted (Streamable HTTP)** — no install, no API key:
```
https://intangible-valuation.simonmak.com/api/mcp
```
**OpenCode** — add to `opencode.json`:
```json
"intangible-valuation": {
"type": "remote",
"url": "https://intangible-valuation.simonmak.com/api/mcp",
"timeout": 60000
}
```
**Claude Desktop / Cursor** — add the HTTP URL
`https://intangible-valuation.simonmak.com/api/mcp` as an MCP server, or run the
stdio entrypoint above.
**MCP Registry & Glama** — published as
`io.github.simonmak-ascent/intangible-valuation`. The
[`server.json`](server.json) manifest declares both the hosted
`streamable-http` remote and a PyPI **stdio** package, and
[`glama.json`](glama.json) carries the Glama listing. Install and run the stdio
server from either registry:
```bash
pip install "intangible-valuation[mcp]" && intangible-valuation-mcp # pip
uvx --from intangible-valuation intangible-valuation-mcp # uvx (no install)
```
Listed on
[Glama](https://glama.ai/mcp/servers/simonmak-ascent/intangible-valuation) and
the [Official MCP Registry](https://registry.modelcontextprotocol.io).
**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 |
## 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
```bash
# 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
```
## Documentation
- **API Reference:** [intangible-valuation.simonmak.com](https://intangible-valuation.simonmak.com)
- **PyPI:** [pypi.org/project/intangible-valuation](https://pypi.org/project/intangible-valuation/)
- **MCP Server Guide:** [docs/mcp.md](docs/mcp.md)
- **AI Skills Guide:** [docs/skills.md](docs/skills.md)
## Companion Textbook
**[Intangible Asset Valuation: A Comprehensive Guide to Valuing Brands, IP, Technology, and Human Capital](https://www.amazon.com/Intangible-Asset-Valuation-Comprehensive-Technology/dp/B0FZ8742R1)**
*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
```bibtex
@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-dLo que la gente pregunta sobre intangible-valuation
¿Qué es simonmak-ascent/intangible-valuation?
+
simonmak-ascent/intangible-valuation es mcp servers para el ecosistema de Claude AI. Intangible asset valuation library (124+ formulas) with a 14-tool MCP server and AI-agent skills — IP, technology, customer, goodwill, PPA, impairment Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-10-03.
¿Cómo se instala intangible-valuation?
+
Puedes instalar intangible-valuation clonando el repositorio (https://github.com/simonmak-ascent/intangible-valuation) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar simonmak-ascent/intangible-valuation?
+
Nuestro agente de seguridad ha analizado simonmak-ascent/intangible-valuation y le ha asignado un Trust Score de 95/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene simonmak-ascent/intangible-valuation?
+
simonmak-ascent/intangible-valuation es mantenido por simonmak-ascent. La última actividad registrada en GitHub es del 2026-10-03, con 0 issues abiertos.
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+
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