Protein

v1.0.3Data Science & MLstable

MCP server for protein

uncategorizedaibioinformatics
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What is Protein?

Protein is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for protein

MCP server for protein

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server for protein

Use Cases

Access protein structure data
Community

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.3
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y protein-mcp-server

Manual Installation

npx -y protein-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Protein

What is Protein?

Protein is a Model Context Protocol (MCP) server that mcp server for protein It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Protein?

Install via npm with the command: npx -y protein-mcp-server. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with Protein?

Protein works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Protein free to use?

Yes, Protein is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "protein": { "command": "npx", "args": ["-y", "protein-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use Protein?

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