# mcp-alphafold

> mcp-alphafold — pipeworx-io-mcp-alphafold. Use this tool when you need to predict the 3D structure of proteins, solving problems in molecular biology and biochemistry research. It takes protein sequences as input and outputs predicted 3D structures, providing valuable insights for understanding protein function and behavior. Ideal for researchers and scientists working with protein sequences, requiring accurate structural predictions for further analysis and experimentation.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-alphafold  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-alphafold

## Description

AlphaFold predicted protein 3D structures (EBI)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-alphafold)

## 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": "pipeworx-io-mcp-alphafold"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-alphafold` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-alphafold/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