STAMP vs time
Side-by-side comparison to help you pick between these two MCP servers.
STAMP by KatherLab | time by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 119 | ★ 85,748 |
| 30d uses | — | — |
| Score | 47 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsOther | ProductivityDeveloper ToolsCommunication |
| Language | Python | TypeScript |
| Last commit | this month | this month |
STAMP · Summary
STAMP is a computational pathology tool with MCP support for histopathology image analysis and biomarker prediction.
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
STAMP · Use cases
- Automating biomarker discovery from histopathology slides
- Predicting patient survival based on pathology images
- Assessing disease activity from tissue sections
- Cancer subtyping from H&E stains
- Risk stratification in breast cancer patients
time · Use cases
- Assisting with international meeting scheduling across time zones
- Providing real-time time information for location-based queries
- Enabling time conversion for travel planning and itineraries
STAMP · Install
Installation
STAMP requires [uv](https://docs.astral.sh/uv/) for installation. The project supports both CPU and GPU installations with multiple options:
# Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
# Clone and setup STAMP
git clone https://github.com/KatherLab/STAMP.git
cd STAMP
# GPU installation
uv sync --extra gpu
source .venv/bin/activate
# CPU installation
uv sync --extra cpu
source .venv/bin/activateFor Claude Desktop integration:
{
"mcpServers": {
"stamp": {
"command": "uv",
"args": ["run", "--package", "stamp", "--", "mcp"],
"env": {
"PYTHONPATH": "/path/to/STAMP"
}
}
}
}time · Install
Installation Options
**Using uv (recommended):**
uvx mcp-server-time**Using PIP:**
pip install mcp-server-time
python -m mcp_server_time**Configure for Claude Desktop:**
{
"mcpServers": {
"time": {
"command": "uvx",
"args": ["mcp-server-time"]
}
}
}