Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by elusznik · MCP Server · ★ 337
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-server-code-execution-mode safe to install? View the security audit →
MCP Code Execution Server: Zero-Context Discovery for 100+ MCP Tools Stop paying 30,000 tokens per query. This bridge implements Anthropic's discovery pattern with rootless security—reducing MCP context from 30K to 200 tokens while proxying any stdio server. Overview This bridge implements the "Code Execution with MCP" pattern, a convergence of ideas from industry leaders: Apple's CodeAct: "Your LLM Agent Acts Better when Generating C
| Stars | 337 |
| Forks | 29 |
| Language | Python |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 70.6221108541713/100 |
| Open Issues | 6 |
| Last Updated | 2025-12-05 |
| Created | 2025-11-10 |
| Platforms | claude-code, docker, mcp, python |
| Est. Tokens | ~22k |
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mcp-server-code-execution-mode is An MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Implementation of Anthropic's and Cloudflare's ideas for reducing MCP tool definitions contex. It is categorized as a MCP Server with 337 GitHub stars.
mcp-server-code-execution-mode is primarily written in Python. It covers topics such as agentic-ai, agents, anthropic.
You can find installation instructions and usage details in the mcp-server-code-execution-mode GitHub repository at github.com/elusznik/mcp-server-code-execution-mode. The project has 337 stars and 29 forks, indicating an active community.
mcp-server-code-execution-mode is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcp-server-code-execution-mode on Agent Skills Hub include Cerno-Agentic-Local-Deep-Research, OmoiOS, tools. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: