Complete Docker environment integrating OpenWebUI, Jupyter Notebook with Manim, and MCP server for AI-powered code execution and mathematical visualizations

An MCP server that provides a secure isolated environment for executing Python code.

Ephemora Cell — The execution layer for untrusted AI-generated code. Fast, capability-based WASM execution with explicit CPU, memory, time, I/O, and filesystem limits.

Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.

🤖 Enable AI code generation using the Code Execution MCP Server, integrating large language models with the Model Context Protocol for seamless tool use.

MCP server for executing Python code with advanced monitoring and safety features

MCP server for secure, sandboxed code execution using Nix Flakes and Bubblewrap

Turn Claude Code into a plan-execute-validate loop with parallel work, intelligent retry, and memory

MCP server for Okta with agentic API discovery and guided code execution

Secure Node.js execution sandbox for AI. Allows coding agents & LLMs to dynamically run JavaScript, install NPM packages, and retrieve results, facilitating code generation, testing, and interactive assistance. MCP-compatible.

Universal code + logic calculator for AI models: execute 31 languages, evaluate logic, analyze complexity. Exposed via MCP.

MCP Server for mendicant_bias orchestration intelligence - V2 with Resources protocol, code execution, and Mnemosyne knowledge persistence

MCP server that orchestrates code execution in a sandboxed Deno environment with access to all MCP servers

An MCP server for planning, execution and validation: Structured reasoning (think_*) + execution tracking (ship_*) + roadmap + signals for AI coding agents. Rust · stdio + Streamable HTTP · git-native, Agent-Trace-compatible traces.

# 🐢🚀 Node.js Sandbox MCP ServerThis repository hosts a Node.js server that implements the Model Context Protocol (MCP) for running JavaScript in isolated Docker containers. It allows for on-the-fly npm dependency installation, making it easy to execute code safely and efficiently.

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

Deterministic verification gateway for MCP — risk-gated Python execution in a restricted environment, math/logic/code/SQL verification engines, and skill supply-chain provenance guard

**Run GPU workloads, deploy AI models, access inference APIs, and execute AI agents using Badgr's MCP server.** Badgr is an AI compute and workload execution platform for developers, coding agents, and AI assistants. Run workloads on cloud GPUs or compatible customer-owned GPUs (BYO GPU), with cost controls, execution logs, and verified results. **What can Badgr do?** - **GPU Compute / AI Workloads:** Run Python scripts, machine learning jobs, batch inference, and supported ComfyUI workflows. - **AI Model Deployment:** Deploy and serve LLMs using compatible runtimes such as vLLM and SGLang. Get a verified, OpenAI-compatible inference endpoint. - **AI API / LLM Inference:** Make AI API requests with response validation, supported fallback routing, and bounded execution. - **AI Agent Execution:** Launch coding and testing agents, run tasks, check acceptance criteria, and retrieve execution receipts. **Key features:** Cloud GPU execution, BYO GPU support, model serving, AI agent jobs, workload verification, execution logs, cost limits, and deployment management. Connect Badgr to your MCP-compatible AI assistant to execute real workloads instead of just generating instructions. Get started: https://aibadgr.com **Requires a Badgr API key. GPU workloads and other paid execution may incur usage charges.**

Cross-platform visualization MCP for Cortex — host-neutral live activity from Codex, Gemini CLI, Claude Code, and other MCP clients; memory galaxy, execution trace, knowledge graph, consolidation board, and wiki. Read-only, browser-based, with a no-database trace mode.

MCP server is used to create a secure code sandbox environment, execute code in Docker containers, and provide code execution capabilities for AI applications.

MCP server for Venum, the Solana execution layer for coding agents and trading agents. Exposes prices, pools, quotes, swap build/sign/submit, and tx status via stable tools. Works with the Venum CLI and Venum Skills.

MCP server for executing Python code (no AgentScope dependency)

Universal code & logic calculator for AI models: 51 MCP tools across 31 languages. Rust-sandboxed execution with verdicts, sessions, artifacts, exact arithmetic, and verified translation/optimization. No LLM, no gateway, no telemetry: the caller is the model. Apache-2.0.

MCP (Model Context Protocol) server for secure SSH remote command execution. Enables AI assistants like Claude, Cursor, and VS Code to execute commands on remote servers via SSH with command validation, history tracking, and web-based configuration UI.

Code Box is a self-hosted, open-source Model Context Protocol (MCP) server that provides AI agents with a secure, stateful environment to execute Python and JavaScript code. It acts as a direct, zero-cost replacement for Azure Assistants Code Interpreter by persisting variables across calls, and safely executing read-only SQL querys

تمهيد — ground work for execution: turn a project description into a validated, execution-ready planning & handoff package for Claude Code. Relational package store (SQLite ⇄ canonical JSONL), MCP-only writes, schema-enforced quality gates, HTML review surface. Successor of Keystone.

MCP server for code executor. Features execute code, run command, run tests. From MEOK AI Labs.

Comprehensive Model Context Protocol server providing 29 specialized tools for VS Code integration, file operations, command execution, and project analysis

MCP server for code operations with sandboxed execution

Call graph analyzer for understanding code impact and execution flows - built for Claude Code

ArcAgent MCP server for bounty discovery, workspace execution, and verified coding submissions

Claude Code Sub-agents Orchestrator - A powerful MCP server for orchestrating multiple AI sub-agents for complex task execution in Claude Code

Adversarial review system for autonomous AI coding agents. 3 contrarian agents challenge every critical change before execution.

A Model Context Protocol (MCP) server for enhanced shell command execution — RTK token minimization, persistent caching, execution logging, and safe file writes for AI coding agents

Best AI Coding Agent Pipeline Builder 2026 – Plan-Forge Drift-Proof Execution Contracts

Verify AI-generated code with execution evidence — deterministic, local-first verification for coding-agent changes via a macOS app, CLI, and MCP server.

Line-anchored, hierarchical maps of how code executes — MCP server, CLI and shareable viewer for Claude Code, Codex and any agent harness (open Devin Codemaps alternative)

Delegate AI agent tasks from Claude Code to Codex, Claude Code (Agent SDK), and more - with async execution

Persistent memory, architectural decision enforcement, pre-execution safety hooks, and session handoff for Claude Code. MCP server plugin for AI coding agents.

MCP gateway for AutoCAD 2022-2027 - text reading, spatial clustering, translation rewriting, and code execution.

All-in-one open-source toolkit for reliable AI agents: memory, code search, safe execution, and evaluation in one npx install.

MCP server for sandboxed code execution with context window reduction

MCP server for multi-terminal Claude Code orchestration with DAG task management, parallel execution, and self-improvement

MCP server for Python code execution and environment management

MCP server for Python code execution and environment management

GPT and Codex bridge that integrates ChatGPT web with Codex for agentic coding workflows ChatGPT thinks, Codex executes for saving Codex usage limits.

One MCP server for all the APIs your model needs (OpenAPI, GraphQL, SOAP/WSDL, atproto). Sandboxed code execution keeps your context clean.

JSON-driven E2E test runner with parallel execution, Chrome pool, and Claude Code MCP integration

AI-powered cascading development framework. Decompose complex projects into parallel executable tasks with auto-generated PRDs, design docs, and multi-agent collaboration (Claude Code, Codex, Aider).

Governed state engine for AI agents: typed, executable knowledge artifacts with a code-like lifecycle

⚡Stop letting unvetted Python code blow up prod. Zero-execution AST safety gate for circular imports, broken contracts, and PEP traps. Zero deps.

Code Execution Sandbox Platform Solution for Individuals and Small Teams with MCP

Compression Runtime for Universal eXecution — a 60–95% token reducer for AI coding agents (Claude Code, Cursor, Cline, …). Single Rust binary, SQLite, 11 layers, local-first.

Kern , The local, deterministic code-intelligence engine for AI agents. Fast AST indexing, precise dependency graphs, sandboxed execution, and MCP tools with zero network calls and zero telemetry.

Audit trail and cost tracker for AI coding agents. See exactly what Claude Code and Cursor read, wrote, and executed - locally, in real time.

MCP server giving AI agents full access to Julia's runtime via a live Gate — code execution, introspection, debugging, testing, and semantic search

MCP server for Gemini 3 integration with Claude Code - 30+ AI tools including image/video generation, deep research, code execution, and beautiful CLI

The Most Advanced MCP Server for Unity Editor with execute_code, prompts/resources, input simulation, screenshots, and play mode automation.

MCP server for Drupal via Drush. Lets AI agents (Claude Code, Gemini CLI, etc.) interact with any Drupal 10+/11+ site - locally, over SSH, or via Docker - by executing Drush commands.

Code Execution MCP Server for Binary Ninja