Acme
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A Python-based framework that connects LLMs to executable Python code via MCP User Defined Functions, allowing data scientists to extend models. Directly relevant as a framework for building extensible MCP servers.
Implements CEDARScript, a SQL-like language, as an MCP server for code manipulation, showcasing the adaptability of MCP servers for language and code-based tasks.
An MCP server that enables agentic work on code in a headless environment, illustrating the adaptability of the Model Context Protocol for automation tasks.
Enables LLMs to interact with Jupyter notebooks through MCP, potentially executing code, analyzing results, or extracting notebook insights.
An MCP server offering secure, sandboxed environments for executing code, running commands, accessing files, and performing web operations through containerization and isolation technologies.
A feature-rich MCP Server that can manage and execute programs, as well as read, write, search, and edit code and text files across desktop platforms. Includes implementation by wonderwhy-er.
MCP server for running Python code in a secure sandbox environment via MCP tool calls, tailored for LLM and coding agents.
E2B MCP is an MCP server that lets users run AI-generated code in secure sandboxes using E2B's open-source infrastructure, providing code execution and analysis features to MCP clients.
A sandboxed MCP server enabling secure, multi-language code execution with resource limits and network restrictions. Direct example of an MCP server providing isolated code execution environments.
Node.js MCP server that creates isolated Docker sandboxes for executing JavaScript code, supporting on-the-fly npm installation and teardown.
A command line MCP Server offering secure execution and customizable security policies. Directly relevant to MCP server implementations for command line environments.
A robust MCP server that enables AI assistants to securely execute Kubernetes CLI commands (kubectl, helm, istioctl, argocd) using Unix pipes in a Docker environment.
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