elusznik/mcp-server-code-execution-mode

Score: 28.0 Rank #7579

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 context bloat.

Overview

elusznik/mcp-server-code-execution-mode is a Python MCP server licensed under GPL-3.0. 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 context bloat. Topics: agentic-ai, agents, anthropic, claude, claude-code, code-execution, docker, mcp, model-context-protocol, orchestration, podman, token-optimization, python.

Ranked #7579 out of 25632 indexed tools.

Ecosystem

Python GPL-3.0

agentic-aiagentsanthropicclaudeclaude-codecode-executiondockermcpmodel-context-protocolorchestrationpodmantoken-optimizationpython

Signal Breakdown

Stars 316

Freshness 3mo ago

Issue Health 29%

Contributors 2

Dependents 0

Forks 28

Description Detailed

License GPL-3.0

How to Improve

Freshness high impact

Last commit was 101 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 5 open vs 2 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 316
Forks: 28
Open Issues: 5
Closed Issues: 2
Contributors: 2
Dependents: —
Language: Python
License: GPL-3.0
Last Commit: 3mo ago

Matched Queries

"mcp server""mcp-server"

From the README

# 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](https://machinelearning.apple.com/research/codeact)**: "Your LLM Agent Acts Better when Generating Code."
- **Anthropic's [Code execution with MCP](https://www.anthropic.com/engineering/code-execution-with-mcp)**: "Building more efficient agents."
- **Cloudflare's [Code Mode](https://blog.cloudflare.com/code-mode/)**: "LLMs are better at writing code to call MCP, than at calling MCP directly."
- **Docker's [Dynamic MCPs](https://www.docker.com/blog/dynamic-mcps-stop-hardcoding-your-agents-world/)**: "Stop Hardcoding Your Agents’ World."
- **[Terminal Bench](https://www.tbench.ai

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