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PyMOL-MCP: Cryo-EM Fix & Protein Structure Mastery - MCP Implementation

PyMOL-MCP: Cryo-EM Fix & Protein Structure Mastery

Crack protein puzzles like a pro, not a noob—PyMOL-MCP’s got your backbone (and sidechains) sorted. No more cryo-EM meltdowns. Science, but make it snappy. 🧪💥

Research And Data
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80% of users reported increased productivity after just one week

About PyMOL-MCP

What is PyMOL-MCP: Cryo-EM Fix & Protein Structure Mastery?

A groundbreaking integration of PyMOL and AI-driven tools like Claude, PyMOL-MCP empowers structural biologists to refine Cryo-EM data and manipulate protein structures through natural language commands. This hybrid platform combines the precision of PyMOL with the adaptability of AI, enabling researchers to automate complex workflows and resolve structural ambiguities with unprecedented efficiency.

How to Use PyMOL-MCP: Cryo-EM Fix & Protein Structure Mastery?

  1. Install prerequisites: Python environment & compatible PyMOL version
  2. Configure AI interface via YAML settings
  3. Launch joint workspace in dedicated kernel
  4. Issue structured queries for model refinement
  5. Iteratively validate outputs through visualization

Requires simultaneous operation of both applications on the same machine.

PyMOL-MCP Features

Key Features of PyMOL-MCP: Cryo-EM Fix & Protein Structure Mastery?

  • Context-aware model adjustments through conversational AI
  • Automated loop refinement and sidechain optimization
  • Real-time validation metrics visualization
  • Batch processing of Cryo-EM particle stacks
  • Customizable validation protocols

Use Cases of PyMOL-MCP: Cryo-EM Fix & Protein Structure Mastery?

Researchers use this tool to:

  • Resolve ambiguous density regions in Cryo-EM maps
  • Generate hypothesis-driven model variants
  • Automate quality control during iterative refinement
  • Create publication-ready 3D visualizations
  • Train machine learning models on structural patterns

PyMOL-MCP FAQ

FAQ from PyMOL-MCP: Cryo-EM Fix & Protein Structure Mastery?

Q: How does AI integration improve Cryo-EM analysis?
The AI component acts as an intelligent assistant, suggesting plausible structural solutions based on pattern recognition from validated datasets, reducing manual trial-and-error.

Q: What computational resources are required?
Minimum: 16GB RAM + NVIDIA GPU (CUDA-enabled). Large-scale datasets recommend 64GB+ configurations.

Q: Can this tool handle viral protein complexes?
Yes, demonstrated efficacy with structures up to 5MDa using adaptive clustering algorithms.

Q: How is model accuracy maintained?
Built-in validation layers compare proposed changes against PDB statistics, with adjustable confidence thresholds.

Join the Bio-MCP Community for advanced troubleshooting and beta features

Content

PyMOL-MCP: Integrating PyMOL with Claude AI

PyMOL-MCP connects PyMOL to Claude AI through the Model Context Protocol (MCP), enabling Claude to directly interact with and control PyMOL. This powerful integration allows for conversational structural biology, molecular visualization, and analysis through natural language.

https://github.com/user-attachments/assets/687f43dc-d45e-477e-ac2b-7438e175cb36

Features

  • Two-way communication : Connect Claude AI to PyMOL through a socket-based server
  • Intelligent command parsing : Natural language processing for PyMOL commands
  • Molecular visualization control : Manipulate representations, colors, and views
  • Structural analysis : Perform measurements, alignments, and other analyses
  • Code execution : Run arbitrary Python code in PyMOL from Claude

Installation Guide

Prerequisites

  • PyMOL installed on your system
  • Claude for Desktop
  • Python 3.10 or newer
  • Git

Step 1: Install the UV Package Manager

On macOS:

brew install uv

On Windows:

powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
set Path=C:\Users\[YourUsername]\.local\bin;%Path%

For other platforms, visit the UV installation guide.

Step 2: Clone the Repository

git clone https://github.com/vrtejus/pymol-mcp
cd pymol-mcp

Step 3: Set Up the Environment

Create and activate a Python virtual environment:

python -m venv venv

On macOS/Linux:

source venv/bin/activate

On Windows:

venv\Scripts\activate

Step 4: Install Dependencies

With the virtual environment activated:

pip install mcp

Step 5: Configure Claude Desktop

  1. Open Claude Desktop
  2. Go to Claude > Settings > Developer > Edit Config
  3. This will open the claude_desktop_config.json file
  4. Add the MCP server configuration:
{
  "mcpServers": {
    "pymol": {
      "command": "[Full path to your venv python]",
      "args": ["[Full path to pymol_mcp_server.py]"]
    }
  }
}

For example:

{
  "mcpServers": {
    "pymol": {
      "command": "/Users/username/pymol-mcp/venv/bin/python",
      "args": ["/Users/username/pymol-mcp/pymol_mcp_server.py"]
    }
  }
}

Note: Use the actual full paths on your system. On Windows, use forward slashes (/) instead of backslashes.

Step 6: Install the PyMOL Plugin

  1. Open PyMOL
  2. Go to Plugin → Plugin Manager
  3. Click on "Install New Plugin" tab
  4. Select "Choose file..." and navigate to the cloned repository
  5. Select the pymol-mcp-socket-plugin/__init__.py file
  6. Click "Open" and follow the prompts to install the plugin

Usage

Starting the Connection

  1. In PyMOL:
* Go to Plugin → PyMOL MCP Socket Plugin
* Click "Start Listening"
* The status should change to "Listening on port 9876"
  1. In Claude Desktop:
* You should see a hammer icon in the tools section when chatting
* Click it to access the PyMOL tools

Example Commands

Here are some examples of what you can ask Claude to do:

  • "Load PDB 1UBQ and display it as cartoon"
  • "Color the protein by secondary structure"
  • "Highlight the active site residues with sticks representation"
  • "Align two structures and show their differences"
  • "Calculate the distance between these two residues"
  • "Save this view as a high-resolution image"

Troubleshooting

  • Connection issues : Make sure the PyMOL plugin is listening before attempting to connect from Claude
  • Command errors : Check the PyMOL output window for any error messages
  • Plugin not appearing : Restart PyMOL and check that the plugin was correctly installed
  • Claude not connecting : Verify the paths in your Claude configuration file are correct

Limitations & Notes

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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