# fallclaimpaper-mcp

> fallclaimpaper-mcp — sjgant80-hub-fallclaimpaper-mcp. Use this tool when you need to interact with foldkit's conceptual framework via natural language, enabling access to 7-prime spine, 7 κ-bands, and 6 fold operations. It solves problems related to complex data analysis and visualization by providing native tools and resources for MCP servers. Ideal for use cases requiring intuitive interaction with foldkit's framework, this tool accepts natural language inputs and outputs corresponding results and resources.

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

## Description

MCP server for foldkit that exposes 7-prime spine, 7 κ-bands, and 6 fold operations as native tools and resources, enabling interaction with foldkit's conceptual framework via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/g5uksun2qv)
- **Repository:** <https://github.com/sjgant80-hub/fallclaimpaper-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-fallclaimpaper-mcp"
    }
  }
}
```

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

---
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