STAMP

by KatherLab · MCP Server · ★ 119

About STAMP

Solid Tumor Associative Modeling in Pathology

agentsbioimage-analysisbioinformaticsdeep-learningdigital-pathologyheatmaps-visualization-toolhistopathologymcpmcp-serverpathology

Quick Facts

Stars119
Forks54
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score32.75/100
Open Issues11
Last Updated2026-05-22
Created2023-09-22
Platformsmcp, python
Est. Tokens~232k

Compatible Skills

These tools work well together with STAMP for enhanced workflows:

  • llm_agents — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • Machine-Learning-Guide — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • LLM-VM — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • LLM-Tools — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • ClawBio — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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Frequently Asked Questions

What is STAMP?

STAMP is Solid Tumor Associative Modeling in Pathology. It is categorized as a MCP Server with 119 GitHub stars.

What programming language is STAMP written in?

STAMP is primarily written in Python. It covers topics such as agents, bioimage-analysis, bioinformatics.

How do I install or use STAMP?

You can find installation instructions and usage details in the STAMP GitHub repository at github.com/KatherLab/STAMP. The project has 119 stars and 54 forks, indicating an active community.

What license does STAMP use?

STAMP is released under the MIT license, making it free to use and modify according to the license terms.

View on GitHub → Browse MCP Server tools