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contree-mcp

Run code in isolated cloud containers. ConTree gives AI agents secure sandboxed execution environments with full root access, network, and persistent images.

1 starsupdated 17d agogithub ↗
72fair
▣ Overview
PyPITestsLicense
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
85
21.3
Adoption
20%
3
0.6
Quality
10%
100
10.0
Trust
10%
50
5.0
Total
71.9
⚿ Capabilities & Risk Explainer
fs readfs writenetworkexecsecrets
◆ Risk level: high
fs read + fs write + network + exec + secrets active — can execute code, access credentials, and make external network calls.
⚙ Install config
Claude Desktop · Cursor · Windsurf · VS Code (Copilot) · Claude Code
add to your MCP client config:
{
  "mcpServers": {
    "contree": {
      "command": "uvx",
      "args": [
        "contree-mcp"
      ]
    }
  }
}
📈 Score historylast 18 snapshots
5/25/20266/11/2026 · 18 snapshots
⚙ Maintenance health
44/ 100 · is this project alive?
contributors (1y)2
top contributor share92%
releases (1y)5
last release20d ago
ci✗ none
⛁ Raw data
weekly downloads0
github stars1
forks1
open issues6
license✓ present
readme length14274 chars
last publish17d ago
last commit17d ago
last updated8d ago
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contree-mcp — MCP Score: 72/100 | MCPScore | Timeahead