# io.github.AlvisoOculus/optionsahoy-mcp

> Use this tool when you need to optimize equity compensation, such as ISO, NSO, RSU, and QSBS, and navigate complex tax codes. It solves problems related to multi-year financial planning, hedging, and tax strategy, providing outputs to inform decision-making. The tool takes in user inputs on equity holdings and financial goals, and outputs personalized optimization recommendations, considering federal and state-specific tax laws.

Canonical page: https://skillsregistry.net/skills/io-github-alvisooculus-optionsahoy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-alvisooculus-optionsahoy-mcp

## Description

Equity comp tax/trade optimizer: ISO/AMT exercise, NSO, RSU, QSBS, concentration, hedging. 50-state.

## Trust

- **Trust score (0–1):** 0.92
- **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.AlvisoOculus%2Foptionsahoy-mcp)
- **Repository:** <https://github.com/AlvisoOculus/optionsahoy-mcp>

## Use it

MCP endpoint published by the skill: `https://optionsahoy.com/mcp`

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-alvisooculus-optionsahoy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-alvisooculus-optionsahoy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-alvisooculus-optionsahoy-mcp/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