mcp-python-executor vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
mcp-python-executor by bsmi021 | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 3 | ★ 85,748 |
| 30d uses | — | — |
| Score | 30 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsAI / LLM ToolsProductivity | File SystemDeveloper ToolsProductivity |
| Language | JavaScript | TypeScript |
| Last commit | 15 mo ago | this month |
mcp-python-executor · Summary
An MCP server for executing Python code and managing packages with safety constraints.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
mcp-python-executor · Use cases
- Data analysis workflows in AI assistants using Python libraries like pandas and numpy
- Educational environments for teaching Python programming with safety constraints
- Prototyping machine learning models in restricted execution environments
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
mcp-python-executor · Install
Installation
- Clone the repository:
git clone https://github.com/bsmi021/mcp-python-executor.git
cd mcp-python-executor- Install dependencies:
npm install- Build the project:
npm run build- Configure in Claude Desktop:
Add to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-python-executor": {
"command": "node",
"args": ["path/to/python-executor/build/index.js"],
"env": {
"PREINSTALLED_PACKAGES": "numpy pandas matplotlib scikit-learn",
"MAX_MEMORY_MB": "512",
"EXECUTION_TIMEOUT_MS": "30000",
"MAX_CONCURRENT_EXECUTIONS": "5",
"LOG_LEVEL": "info",
"LOG_FORMAT": "json"
}
}
}
}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.