# io.github.Arielbs/rosetta-mcp-server

> Use this tool when you need to perform protein modeling and translation tasks in computational biology, solving problems such as protein structure prediction and molecular analysis. It takes in protein sequences and structures as input and outputs modeled structures and translated data, utilizing Rosetta/PyRosetta and Biotite frameworks. Ideal for use in bioinformatics and structural biology research contexts.

Canonical page: https://skillsregistry.net/skills/io-github-arielbs-rosetta-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-arielbs-rosetta-mcp-server

## Description

Rosetta/PyRosetta protein modeling and Biotite translation for computational biology

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.3.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Arielbs%2Frosetta-mcp-server)
- **Repository:** <https://github.com/Arielbs/rosetta-mcp-server>

## 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": "io-github-arielbs-rosetta-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-arielbs-rosetta-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-arielbs-rosetta-mcp-server/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