STAMP vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	STAMP by KatherLab	filesystem by modelcontextprotocol
Stars	★ 119	★ 85,748
30d uses	—	—
Score	47	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsOther	File SystemDeveloper ToolsProductivity
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.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

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

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

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/activate

For Claude Desktop integration:

{
  "mcpServers": {
    "stamp": {
      "command": "uv",
      "args": ["run", "--package", "stamp", "--", "mcp"],
      "env": {
        "PYTHONPATH": "/path/to/STAMP"
      }
    }
  }
}

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.