# accountinghouse-mcp

> accountinghouse-mcp — sjgant80-hub-accountinghouse-mcp. Use this tool when you need to integrate advanced folding operations and spine analysis into your workflow, solving problems in protein structure prediction and analysis. It exposes 7-prime spine, 7 κ-bands, and 6 fold operations as native tools, accepting protein structures as input and outputting analyzed data. Ideal for use in bioinformatics and computational biology applications, particularly with MCP clients and foldkit.

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

## Description

MCP server for foldkit that exposes the 7-prime spine, 7 κ-bands, and 6 fold operations as native tools and resources in any MCP client.

## 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:** finance
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nnlezfg7ol)
- **Repository:** <https://github.com/sjgant80-hub/accountinghouse-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-accountinghouse-mcp"
    }
  }
}
```

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