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pymol-mcp

通过模型上下文协议将PyMOL与Claude AI连接起来,允许通过自然语言命令进行会话式的结构生物学和分子可视化。

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README

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"
  2. 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

  • The socket connection requires both PyMOL and Claude to be running on the same machine
  • Some complex operations may need to be broken down into simpler steps
  • Always save your work before using experimental features
  • Join our Bio-MCP Community to troubleshoot, provide feedback & improve Bio-MCPS! https://join.slack.com/t/bio-mcpslack/shared_invite/zt-31z4pho39-K5tb6sZ1hUvrFyoPmKihAA

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.

help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client