# AlphaFold3 MCP Server

> Use this tool when you need to predict protein structures and analyze variants using AI-powered methods. It solves problems in bioinformatics and structural biology by providing accurate predictions and facilitating batch processing of variants. The tool accepts input sequences and variant data, and outputs predicted structures and analysis results, making it ideal for researchers and scientists working with proteins.

Canonical page: https://skillsregistry.net/skills/macromnex-alphafold3-mcp  
JSON: https://api.skillsregistry.net/v1/skills/macromnex-alphafold3-mcp

## Description

Enables AI-powered protein structure prediction and variant analysis via Docker, with tools for submitting predictions, batch processing variants, and monitoring jobs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c1wqnttmbm)
- **Repository:** <https://github.com/MacromNex/alphafold3_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": "macromnex-alphafold3-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/macromnex-alphafold3-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/macromnex-alphafold3-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