# mcp-alphafold

> Use this tool when you need to predict protein structures or retrieve UniProt data through natural language queries, solving problems in bioinformatics and proteomics research. It provides programmatic access to AlphaFold predictions, enabling users to retrieve structures, summaries, and annotations as output. Ideal for use cases requiring automated protein analysis and insight generation, such as drug discovery and molecular biology research.

Canonical page: https://skillsregistry.net/skills/zeinab-sheikhi-mcp-alphafold  
JSON: https://api.skillsregistry.net/v1/skills/zeinab-sheikhi-mcp-alphafold

## Description

Provides programmatic access to AlphaFold protein structure predictions and UniProt data, enabling users to retrieve protein structures, summaries, and annotations through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d7kxahgt6l)
- **Repository:** <https://github.com/zeinab-sheikhi/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": "zeinab-sheikhi-mcp-alphafold"
    }
  }
}
```

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