# Foul Domain

> Use this tool when you need to explore and discover the best Phish tracks, jams, and shows from a vast database of 36,000+ analyzed tracks. It solves problems of finding specific song versions, top performances, and notable concerts by providing filters such as year, era, venue, and tags. By using Foul Domain, users can input search criteria and receive output recommendations for the most iconic and sought-after Phish recordings.

Canonical page: https://skillsregistry.net/skills/fouldomain-phish-analytics  
JSON: https://api.skillsregistry.net/v1/skills/fouldomain-phish-analytics

## Description

Search 36,000+ analyzed Phish tracks. Find the best jams, shows, and song versions by year, era, venue, tags, and more.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-07-15

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/fouldomain/phish-analytics)

## Use it

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": "fouldomain-phish-analytics"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fouldomain-phish-analytics` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fouldomain-phish-analytics/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