# AlphaFold MCP Server

> AlphaFold MCP Server — augmented-nature-alphafold-mcp-server. Use this tool when you need to predict 3D protein structures and identify functional sites, solving problems in molecular biology and biochemistry research. The AlphaFold MCP Server takes amino acid sequences as input and outputs predicted 3D structures, enabling researchers to better understand protein function and interactions. Ideal for use in structural biology, protein engineering, and drug discovery applications.

Canonical page: https://skillsregistry.net/skills/augmented-nature-alphafold-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/augmented-nature-alphafold-mcp-server

## Description

A comprehensive Model Context Protocol (MCP) server that provides access to the AlphaFold Protein Structure Database through a rich set of tools and resources for protein structure prediction analysis.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jnakcnux31)
- **Repository:** <https://github.com/Augmented-Nature/AlphaFold-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": "augmented-nature-alphafold-mcp-server"
    }
  }
}
```

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