# cassietorusbtc135solver-mcp

> cassietorusbtc135solver-mcp — sjgant80-hub-cassietorusbtc135solver-mcp. Use this tool when you need to perform state folding, κ-band classification, and origami-inspired operations in a flexible and accessible way. The cassietorusbtc135solver-mcp server provides native tools and resources for foldkit, exposing the 7-prime spine, 7 κ-bands, and 6 fold operations to enable advanced folding capabilities. It accepts inputs from MCP clients and outputs folded structures, κ-band classifications, and other operational results.

Canonical page: https://skillsregistry.net/skills/sjgant80-hub-cassietorusbtc135solver-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sjgant80-hub-cassietorusbtc135solver-mcp

## Description

MCP server that exposes the 7-prime spine, 7 κ-bands, and 6 fold operations as native tools and resources for foldkit, enabling state folding, κ-band classification, and origami-inspired operations in any MCP client.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/azxyxf4mok)
- **Repository:** <https://github.com/sjgant80-hub/cassietorusbtc135solver-mcp>

## 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": "sjgant80-hub-cassietorusbtc135solver-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sjgant80-hub-cassietorusbtc135solver-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sjgant80-hub-cassietorusbtc135solver-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