Execute Python or JavaScript code in a sandbox to test scripts, debug algorithms, or run isolated code snippets safely.
MIT
133,413 tools. Last updated 2026-05-25 13:10
"Executing code in a sandbox environment" matching MCP tools:
- Execute smart contract functions in a sandbox environment to test and debug blockchain interactions without deploying to mainnet.MIT
- Run TypeScript code with Canvas API credentials in a sandboxed Node.js environment. Save tokens by executing bulk operations.
- Copy files from your local system to a Modal sandbox environment for uploading inputs, transferring configurations, or deploying code to isolated cloud-based Python environments.MIT
- Execute shell commands in isolated Modal sandbox environments to run scripts, test programs, and debug with captured output and timing results.MIT
- Update JavaScript code of a flow page JS block. The code runs in a NocoBase sandbox and uses ctx.render(htmlString) to render output.MIT
Matching MCP Servers
- Alicense-qualityDmaintenanceAn MCP server to create secure code sandbox environment for executing code within Docker containers.Last updated321MIT
- Flicense-qualityCmaintenanceAn extensible Message Communication Protocol server that provides secure code execution capabilities in isolated sandbox environments, compatible with Claude for Desktop and other MCP clients.Last updated16
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- Execute Python code in a secure sandbox environment for calculations and data manipulation. The tool runs simple Python scripts with restricted imports and returns results with logs.MIT
- Execute shell commands in a sandboxed environment that blocks dangerous patterns like rm -rf, sudo, and curl. Uses Seatbelt sandbox for isolation.Business Source 1.1
- Execute Python code in a sandboxed macOS environment with no network access, restricted filesystem writes, and automatic timeout. Returns stdout, stderr, and exit code for safe autonomous agent use.Business Source 1.1
- Run Python code securely in a WebAssembly sandbox to execute scripts and return output. Supports pure Python without external dependencies.Apache 2.0
- Write content to files in a Modal sandbox for prototyping, code generation, and implementing algorithms in isolated cloud environments.MIT
- Execute Python code in a persistent sandbox environment to run computations, analyze data, or build multi-tool workflows while maintaining state across executions.GPL 3.0
- Execute code in a temporary sandbox, automatically destroying it post-execution. Supports multiple languages, custom environment variables, and optional file download. Ideal for isolated, one-time code runs without persistent sandbox operations.MIT
- Execute JavaScript code in a secure WebAssembly sandbox to run untrusted code safely and return console logs with evaluated expressions.Apache 2.0
- Execute Python code in a sandboxed environment based on natural language prompts. Generate and run code, then return both the code and execution results.MIT
- Execute shell commands in a sandbox to run builds, tests, installs, or CLI commands, returning stdout, stderr, and exit code for integration into automated workflows.MIT
- List entries in a specified directory path relative to the sandbox root, enabling file exploration in a controlled environment.MIT
- Execute Python code in a secure sandbox environment to test scripts, analyze data, or run computational tasks with libraries like numpy, pandas, and matplotlib.MIT
- Execute code in a secure sandbox environment with specified language and environment variables. Retrieve text output directly; for file operations, use dedicated viewing and export endpoints.MIT
- Initialize a new Git repository in a specified path inside an E2B sandbox, enabling version control for your code.MIT