Execute terminal commands, manage processes, and perform advanced file editing tasks, including text replacements and file rewrites. Enhance development workflows by automating repetitive tasks and running processes efficiently.

Enable agents to execute Python code seamlessly within a REPL environment, allowing for on-the-fly script creation and execution. It enhances automation and coding capabilities directly within workflows.

Enhances coding workflows by directly executing commands to modify and analyze project files. Integrates with various clients for file access and targeted code modification, with robust command execution and error handling capabilities.

Execute Python code within a specified Conda environment, enabling access to libraries and dependencies. Supports incremental code generation for handling large code blocks that may exceed token limits.

Execute shell commands securely by utilizing a whitelist, with the ability to provide standard input and receive comprehensive output from commands.

Provides Zig language tooling, enabling code analysis, optimization, and documentation access specific to Zig. Supports features like code optimization at various levels and estimation of computational resource usage for Zig programs.

Perform numerical computations using NumPy, including basic arithmetic operations and linear algebra tasks such as matrix multiplication and statistical analysis. Interface seamlessly with LLMs through a standardized MCP protocol.

Manage and debug applications remotely using GDB, supporting breakpoints, stack information, and program execution control. Enables concurrent debugging sessions to enhance workflow efficiency.

Execute Python code through the Model Context Protocol interface, enabling Large Language Models to leverage Python capabilities within their responses. The server supports both stdio and SSE transport modes and is implemented in TypeScript.

The 302AI Sandbox Server allows AI models to safely run code, execute commands, and manage files in a controlled remote Linux environment.

Integrate a coding agent that enhances development workflows by providing semantic code retrieval and editing tools directly within a codebase. It leverages relational structures and code entities for improved assistance tailored to coding tasks.

Execute JavaScript code snippets securely in a sandboxed environment with comprehensive error handling and memory management. Supports ESM modules, dynamic imports, and access to native Node.js APIs.

Runs code in secure, isolated Docker containers, preventing unintended consequences from untested code execution. Provides a configurable execution environment for LLMs to safely test code locally.

Execute SuperCollider synths using the SuperCollider programming language through an MCP server interface. Integrate audio synthesis capabilities into LLM applications on macOS with Apple Silicon, facilitating sound generation workflows utilizing supercolliderjs within the MCP framework.

Enables safe and isolated execution of Python code within Docker containers, allowing for package management and interaction within multiple sandboxes. Provides access to generated files via web links and facilitates interactive Python environments for users and language models.

Execute Python code and shell commands in secure, isolated environments with file management and web preview generation capabilities.

Seamlessly interact with Python environments to execute code, manage packages, and perform file operations. Includes templates for common tasks to streamline development workflows.

Integrates code execution and interpretation capabilities for AI applications, enhancing agent functionality through the E2B Sandbox. Compatible with JavaScript and Python editions for dynamic code manipulation.

An AI desktop assistant that automates tasks such as file management, data analysis, and code development while providing a modern interface with multi-language support.

Enables AI agents to interact with VS Code for tasks such as modifying files, opening projects, and checking extension statuses. This facilitates a more efficient integration of AI assistance into the coding environment.

Provides intelligent real-time code analysis and suggestions directly within the Cursor IDE by leveraging OpenAI's GPT models.

Connect and control DaVinci Resolve projects, manage media, and execute Python code through an AI interface for enhanced video editing automation.

Executes Python code and shell commands in isolated environments, providing file management capabilities and support for Git repository cloning and web previews.

Execute JavaScript and Python code securely in cloud environments with integrated file management, session reuse for performance optimization, and automatic handling of timeouts and errors. Seamlessly compatible with Claude AI Desktop for enhanced functionality.

Wraps Riza API endpoints as tools for LLM-enabled code execution and management, providing an isolated environment to run code generated by LLMs.