STAMP
by KatherLab
Overview
Enables LLM agents to orchestrate end-to-end computational pathology tasks from Whole Slide Images, including feature extraction, model training, cross-validation, deployment, and heatmap generation.
Installation
python server.pyEnvironment Variables
- MAX_JOBS
- PYTORCH_CUDA_ALLOC_CONF
Security Notes
The server executes the `stamp` CLI via `subprocess.run` with dynamically generated configurations from user (LLM agent) input. This presents a significant risk of command injection if the `stamp` CLI or its underlying dependencies do not robustly sanitize all possible arguments and file paths. While `read_file` and `list_files` tools attempt path sanitization to limit file access to the server's base directory, this mechanism is not foolproof and could potentially be bypassed via directory traversal vulnerabilities, leading to exposure of sensitive local files. Therefore, running this server without strong sandboxing (e.g., Docker with strict security policies) is highly discouraged.
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