cmxflow
Composable, tunable cheminformatics workflows: prepare ligands, cluster, virtual screens, and more.
What is cmxflow?
cmxflow is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to composable, tunable cheminformatics workflows: prepare ligands, cluster, virtual screens, and more.
Composable, tunable cheminformatics workflows: prepare ligands, cluster, virtual screens, and more.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Composable, tunable cheminformatics workflows: prepare ligan
Use Cases
Maintainer
Works with
Installation
PIP
pip install cmxflowManual Installation
pip install cmxflowConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about cmxflow
What is cmxflow?
cmxflow is a Model Context Protocol (MCP) server that composable, tunable cheminformatics workflows: prepare ligands, cluster, virtual screens, and more. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install cmxflow?
Install via pip with: pip install cmxflow. Then configure your AI client to connect to this MCP server.
Which AI clients work with cmxflow?
cmxflow works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is cmxflow free to use?
Yes, cmxflow is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up cmxflow in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use cmxflow?
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