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protein_structure_MCP_server
This repository contains a MCP (Model Context Protocol) server that retrieves protein information by searching UniProt for accession numbers based on human protein names, then leverages AlphaFold to provide detailed protein data and direct links to AlphaFold structural predictions.
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Python
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest soffelcopter/protein_structure_MCP_serverAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx protein_structure_mcp_server
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"protein_structure_mcp_server": {
"command": "uvx",
"args": [
"protein_structure_mcp_server"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
protein_structure_mcp_server — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt