19 MCP servers and agent skills in the Code Execution category, ranked by quality score.
Execute any LLM-generated code in a secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages
A Python Runtime Interpreter MCP Server that executes user-submitted code in an isolated environment.
SWI-Prolog execution for LLMs with CLP(FD), negation-as-failure, and recursion. Benchmarked 90% vs 73% LLM-only accuracy on 30 logic problems.
MCP server that lets LLMs execute code through the Piston remote code execution engine, with a zero-config `uv` setup and a ready-to-use Claude Desktop config example.
OpenAPI-MCP: Dockerized MCP Server to allow your AI agent to access any API with existing api docs.
A Node.js MCP server that spins up isolated Docker-based sandboxes for executing JavaScript snippets with on-the-fly npm dependency installation and clean teardown
Connect Claude Code with E2B cloud sandboxes — 29 tools for creating isolated Linux VMs, cloning repos, running commands, managing files, and performing git operations without touching the local machine.