"How to create a sandbox environment" matching MCP servers:

MCP server that provides tools to access Google Maps Environment APIs for air quality, pollen, and weather data, enabling queries like current conditions, forecasts, and history.

Scaffold and audit Starter Series projects — MCP server, Claude Code skill, and CLI in one package.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

A CLI tool that sets up a Model Control Protocol server and deploys it to Cloudflare Workers, allowing you to quickly create custom tools for your Cursor Agent just by writing TypeScript functions.

MCP server for generating images using Gemini, supporting multiple aspect ratios and both AI Studio and Vertex AI backends.

A dynamic service that creates and manages Model Context Protocol (MCP) servers, allowing users to spawn, customize, and control multiple MCP servers as child processes.

Enables AI agents to create isolated Docker runtimes, execute commands, manage workspace files, drive a headed browser, and retrieve artifacts through eight semantic MCP tools, with progressive capability discovery and explicit sandbox lifecycle.

Salesforce sandbox seeding, built for AI agents. SOQL-driven org-to-org record copy with automatic dependency-graph walking, cross-org FK remapping, and a hard AI-never-sees-your-data boundary.

An enhanced dynamic MCP server management service that creates, runs, and manages Model Context Protocol servers with multi-language support and strict parameter validation.

A Docker-based MCP server that enables AI to securely run Foundry test commands in isolated containers, with automatic dependency management and cleanup.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

A Model Context Protocol server that enables AI assistants to create, control, and interact with virtual desktop environments through E2B's secure cloud sandboxes.

Connects AI assistants to the Sandbox Studio API to manage AWS sandbox accounts, leases, templates, events, and settings through natural language conversations.

Execute Python, JavaScript, or SQL code in a sandboxed environment and retrieve stdout, execution time, and errors with pay-per-call via x402 (USDC on Base L2).

Spins up isolated opencode instances in Docker containers as MCP servers, providing 80 tools for file and shell operations within a scoped workspace without exposing the host filesystem.

Automatically converts JavaScript modules into MCP-compatible servers, making any JavaScript function accessible to AI systems through secure sandboxing with automatic type inference.

Enables AI clients to manage and execute development commands within isolated Railway sandboxes, providing a remote shell, file read/write, and sandbox lifecycle management for running tests, builds, and repository operations.

Enables secure execution of bash, Python, and Node.js code in isolated Firecracker microVMs with configurable timeouts and no network access.

Enables executing arbitrary code and Postman collections in isolated Docker sandboxes via an MCP server, with a real-time web dashboard for management.

MCP server connecting Claude Code with E2B cloud sandboxes for working on any GitHub repo.