# io.github.FinStudio-png/finstudio-financial-models

> Use this tool when you need to analyze and compare financial models across multiple jurisdictions, solving problems such as tax optimization and valuation. It provides inputs for financial data and outputs comparative results for tax, DCF valuation, unit economics, and P&L forecasts. Ideal for use in financial planning and analysis, particularly when operating across 8 supported jurisdictions.

Canonical page: https://skillsregistry.net/skills/io-github-finstudio-png-finstudio-financial-models  
JSON: https://api.skillsregistry.net/v1/skills/io-github-finstudio-png-finstudio-financial-models

## Description

Tax comparison, DCF valuation, unit economics, P&L forecast across 8 jurisdictions

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.FinStudio-png%2Ffinstudio-financial-models)
- **Repository:** <https://github.com/FinStudio-png/finstudio-mcp>

## Use it

MCP endpoint published by the skill: `https://web-production-842e0.up.railway.app/sse`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-finstudio-png-finstudio-financial-models"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-finstudio-png-finstudio-financial-models` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-finstudio-png-finstudio-financial-models/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt