"Foundry Virtual Tabletop" matching MCP servers:

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

A Model Context Protocol server that enables interaction with Foundry tools through natural language, allowing users to create projects, build contracts, run tests, and manage Ethereum development environments.

An MCP server that manages an IPython kernel, allowing LLMs to execute Python code in a project's virtual environment.

Enables Claude to access Tabletop Simulator through its External Editor API, allowing it to run Lua, inspect and manipulate objects, measure geometry, move pieces, and roll or read physics dice during games.

Sandboxed bash execution MCP server for AI agents, using an in-memory virtual filesystem overlay to prevent real filesystem damage, with configurable network access, timeouts, and optional Python/JS runtimes.

Enables remote Python code execution via the Model Context Protocol for secure, real-time lab scenarios and sandbox testing. It allows AI clients like Claude and Cursor to execute and evaluate code within a virtual lab environment.

A Model Context Protocol (MCP) server implementation that allows AI assistants to run k6 load tests through natural language commands, supporting custom test durations and virtual users.

Enables agents and MCP clients to safely execute and verify multi-language code in a deterministic sandbox, using AST security analysis to block dangerous system calls and capture isolated execution telemetry.

A lightweight, fast MCP server that provides onchain capabilities for the LLMs and Agents.

Production-ready MCP server for secure Python code execution with artifact capture, virtual environment support, and LM Studio integration.

MCP server for simulating firmware on virtual microcontroller instances, allowing AI agents to upload, run, and read UART output from supported boards such as STM32 and Nordic.

Enables agents and MCP-compliant clients to run multi-language code in a deterministic, zero-dependency sandbox where AST security analysis blocks dangerous syscalls and isolated execution telemetry is captured. It exposes this through JSON-RPC 2.0 stdio, letting frameworks like LangGraph, CrewAI, Cursor, and Claude Desktop validate and execute agent-generated code safely.

Execute Python code with persistent state across Claude conversations using a background Jupyter kernel. Supports creating notebooks, managing virtual environments, and maintaining variables/imports between code executions.

Provides interactive Python REPL capabilities with persistent sessions, virtual environment support, package management via uv, and development tools like testing, linting, and code formatting for Python projects.

A serverless-accelerated hybrid development platform that minimizes dependencies in the local development environment and organically combines a virtual operating system kernel inside a web browser with the local host resources.