# niceassos-spec-mcp

> niceassos-spec-mcp — sjgant80-hub-niceassos-spec-mcp. Use this tool when you need to leverage foldkit's capabilities for molecular modeling and analysis, solving problems related to protein structure prediction and manipulation. It exposes 7-prime spine, 7 κ-bands, and 6 fold operations as native tools for MCP clients, accepting molecular data as input and producing modified structures as output. Ideal for bioinformatics and computational biology applications requiring advanced protein folding and analysis capabilities.

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

## Description

Exposes foldkit's 7-prime spine, 7 κ-bands, and 6 fold operations as native tools and resources for 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/kyrf3a2vzb)
- **Repository:** <https://github.com/sjgant80-hub/niceassos-spec-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-niceassos-spec-mcp"
    }
  }
}
```

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