everything vs mcp-python-interpreter
Side-by-side comparison to help you pick between these two MCP servers.
everything by modelcontextprotocol | mcp-python-interpreter by yzfly | |
|---|---|---|
| Stars | ★ 85,748 | ★ 99 |
| 30d uses | — | — |
| Score | 77 | 44 |
| Official | ✓ | — |
| Categories | Developer ToolsAI / LLM ToolsOther | Developer ToolsAI / LLM ToolsFile System |
| Language | TypeScript | Python |
| Last commit | this month | 7 mo ago |
everything · Summary
Official MCP test server exercising all protocol features for client builders.
mcp-python-interpreter · Summary
MCP Python interpreter server enabling LLMs to run Python code, manage environments, and handle files with proper security isolation.
everything · Use cases
- Testing MCP client implementations against all protocol features
- Learning MCP protocol capabilities through a reference server
- Validating client compatibility with different transport methods
mcp-python-interpreter · Use cases
- AI-assisted Python development with code execution and debugging
- File operations and content generation in a secure sandboxed environment
- Python environment and package management through LLM interactions
everything · Install
NPX (recommended)
{
"mcpServers": {
"everything": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everything"]
}
}
}On Windows, use cmd /c:
{
"mcpServers": {
"everything": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
}
}
}Docker
{
"mcpServers": {
"everything": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/everything"]
}
}
}Global install
npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everythingmcp-python-interpreter · Install
Install with pip:
pip install mcp-python-interpreterOr with uv:
uv install mcp-python-interpreterClaude Desktop Configuration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-python-interpreter": {
"command": "uvx",
"args": [
"mcp-python-interpreter",
"--dir",
"/path/to/your/work/dir",
"--python-path",
"/path/to/your/python"
],
"env": {
"MCP_ALLOW_SYSTEM_ACCESS": 0
},
}
}
}