"Information about Visual Studio Code (VSCode)" matching MCP servers:

Enables AI agents to control VSCode workspaces, including file operations, terminal commands, search, and workspace management.

MCP server to expose VS Code editing features to an LLM for AI coding

Exposes Jupyter notebook operations as MCP tools over plain HTTP, allowing AI agents to explore, edit, run, and debug notebooks in a live VS Code session using local or remote kernels.

Gives AI agents full control of VS Code's debugging engine — set breakpoints, launch/attach sessions, step through code, inspect call stacks and variables, and evaluate expressions in the paused frame.

Exposes VSCode Jupyter notebooks to MCP-compatible AI agents, enabling them to read, edit, and run cells against the same kernel.

An MCP server and VS Code extension that enables AI clients to interactively debug code using breakpoints, execution control, and state inspection. It is language-agnostic and works with any debugger that supports VS Code's launch.json configurations.

Enables AI clients to write, run, and visually render code in a single loop, combining secure execution via Judge0/Codebox with Playwright screenshots.

Enables AI assistants to directly manage Roblox Studio projects by creating, reading, updating, and deleting scripts, listing instances, executing Luau code, and inspecting properties. It works through natural language, making Studio operations accessible to AI.

A Model Context Protocol server that helps large language models process code repositories by providing file tree generation, code merging, and code analysis capabilities.

An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.

A server that integrates Flux's advanced image generation and manipulation features into AI coding assistants, enabling seamless text-to-image and image control workflows in IDEs like Cursor and Windsurf.

Provides tools for AI-driven development workflows including file system operations, code analysis, code execution, web fetching, and search.

An MCP server to create secure code sandbox environment for executing code within Docker containers.

Enables secure cloud-based execution of code across 14+ programming languages within a sandboxed environment. It supports file management, standard input/output handling, and automatic generation of visual artifacts like plots and charts.

Enables Codex to offload expensive code reading, editing, and checking to a worker agent via Claude Code, supporting async jobs and long-running tasks.

Enables AI assistants to interact with VS Code for language intelligence, debugging, and code execution.

Provides a sandboxed Docker environment for executing Python code against API endpoints, exposing tools for discovery, inspection, execution, and reuse.

Enables safe execution of Python code with AI assistance and integration with Model Context Protocol tools.

A server that likely facilitates integration between GitHub Copilot and Visual Studio Code, though the README lacks specific details about its functionality.

Composes arbitrary MCP tools using JavaScript, enabling discovery, composition, and execution of other MCP servers through a single 'exec' tool.