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

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

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

MCP-first A/B testing server that enables agents to manage experiments (create, update traffic splits, read results, apply winning variants) from tools like Claude Code, with self-hosted Cloudflare backend.

Enables enforcing memory boundary compartmentalization and multi-tenant security isolation for autonomous agents via a deterministic, zero-dependency Python skill. Seamlessly integrates with Claude Desktop, Cursor, and other MCP-compliant clients to execute isolation policies through structured JSON-RPC requests.

Enables developers and AI agents to enforce per-tenant security isolation for autonomous agents by compartmentalizing memory boundaries and managing sandboxed tenant execution. It exposes this deterministic, dependency-free guard through a native MCP server that plugs into Claude Desktop, Cursor, and other MCP-compliant clients.

Lets AI agents scaffold modern npm packages, CLIs, HTTP services, and apps as a native tool. Three tools: inspect the full option/preset schema, preview the generated file tree for a config, and write the project to disk.

Enables searching and retrieving content, module information, and Twig template snippets from a-blog cms via its GET API.

Thin MCP server that enables AI agents to generate video, image, and audio content via the Deepy API using a personal API key, with safe generation flow and no business logic.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

Publishes static sites to Drop2Run from an AI agent: hand it files written in the chat or a folder on disk, and it returns a live HTTPS URL. Six tools — publish_files, publish_dir, list_sites, delete_site, and login / login_code — with no git, no build step and no repository.

Enables agents to discover available still-image animation models, obtain credit quotes without charge, submit one explicitly approved generation job, and poll the resulting short clip.

Enables searching government awards through the Sell to State API by proxying JSON-RPC to the live HTTP MCP endpoint, requiring an API key.

Lightweight project management for teams and AI agents.

A Model Context Protocol (MCP) server for interacting with Joe Sandbox Cloud. This server exposes rich analysis and IOC extraction capabilities from Joe Sandbox and integrates cleanly into any MCP-compatible application (e.g. Claude Desktop, Glama, or custom LLM agents).

Enables AI agents to connect to Databend databases safely with a session sandbox that keeps production read-only while agents experiment.

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official MCP server for ToseaAI that enables document-to-presentation workflows including PDF parsing, outline generation, and slide rendering. It provides a stable tool surface for AI agents to create, manage, and export presentations directly within their environment.

Enables AI assistants to operate Vertra Cloud resources through the public API: deploy and manage applications, view logs and metrics, create and restore snapshots, and administer databases and environment variables.

Connects LLMs to Phaser Editor v5 to facilitate the management of game scenes, assets, and tilemaps. It enables developers to create, modify, and inspect game content within the editor's environment through natural language interactions.

Enables AI agents to explore and prototype Wyoming DAO LLC formation workflows in a sandbox environment.