MCPs tagged with code-execution
-
JupyterMCP
Enable direct Claude AI integration with Jupyter Notebook via the Model Context Protocol.
JupyterMCP integrates Jupyter Notebook (version 6.x) with Claude AI using the Model Context Protocol, enabling real-time interaction between AI models and live notebooks. It facilitates two-way communication, allowing Claude AI to execute code, manipulate cells, and retrieve outputs directly within the notebook. The system comprises a WebSocket server, client-side JavaScript, and an MCP server for seamless protocol implementation. Designed for developers and data scientists, it brings advanced AI assistance into interactive notebook environments.
- ⭐ 111
- MCP
- jjsantos01/jupyter-notebook-mcp
-
mcp-code-runner
A Docker-based code runner implementing the MCP protocol
mcp-code-runner is a code execution service built on top of the Model Context Protocol (MCP). It enables users to execute code securely within Docker containers and retrieve the execution results. The tool is designed to support code execution use cases while adhering to the MCP standard for interoperability. A local Docker environment is required for operation.
- ⭐ 14
- MCP
- axliupore/mcp-code-runner
-
mcp-server-js
Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.
YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.
- ⭐ 31
- MCP
- yepcode/mcp-server-js