STAMP
pipStandardSTAMP processes whole-slide images to model solid tumors and predict biomarkers. It provides tools for image analysis, tumor segmentation, and biomarker prediction. The server connects to pathology image databases and integrates with machine learning frameworks. Developers use it to build AI models for cancer research and diagnostic tools.
111460Updated 2 days ago
Overview
STAMP processes whole-slide images to model solid tumors and predict biomarkers. It provides tools for image analysis, tumor segmentation, and biomarker prediction. The server connects to pathology image databases and integrates with machine learning frameworks. Developers use it to build AI models for cancer research and diagnostic tools.
Installation
1Install the package
pip
pip install STAMP2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"katherlab-stamp-github": {
"command": "uvx",
"args": [
"pip install STAMP"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from STAMP?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in STAMP?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in STAMP"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in STAMP with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with STAMP
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