"MCP server for building and debugging VSCode extensions" matching MCP servers:

Enables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.

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

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

Enables AI agents to programmatically control and automate VSCode by interacting with its UI, executing commands, and inspecting the DOM structure. It supports advanced workflows like UI testing, extension development, and debugging through a standalone VSCode instance.

Provides intelligent error detection and debugging capabilities across multiple programming languages with real-time monitoring of build, lint, runtime, console, and test errors. Offers AI-enhanced error analysis with automated resolution suggestions and context-aware debugging.

Connects VSCode with MCP to provide AI assistants real-time access to LSP diagnostics, symbol info, and code navigation, enabling efficient code analysis without slow build commands.

Provides real-time access to Japanese building standards laws and regulations from e-Gov API, helping prevent AI hallucinations by validating citations against original legal texts.

An MCP server that gives Claude IDE capabilities inside VS Code and Cursor, enabling file operations, shell commands, and workspace management via natural language.

An MCP bridge that exposes A2A agents as tools in VS Code agent chat, enabling natural language delegation to remote agents with multi-turn conversation and configurable authentication.

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.

Converts VSCode into an MCP server that enables external clients to remotely execute VSCode internal commands, query workspace information, and interact with the editor through HTTP streaming. Built on the FastMCP framework with security controls and real-time monitoring.

A Model Context Protocol (MCP) server that provides VSCode context and filesystem operations for AI assistants.

VS Code Extension & Model Context Protocol Suite Orchestrator for Cursor, Claude Desktop, and VS Code IDEs.

Exposes VS Code's Debug Adapter Protocol as MCP tools, enabling AI coding agents to set breakpoints, step through code, inspect variables, and read exceptions in a real debug session.

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.

A lightweight bridge extension that enables Claude Desktop to connect to VSCode workspaces via Model Context Protocol, allowing Claude to read and write files, create directories, and list contents in your workspace.

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

Enables AI agents to access live VS Code editor state, symbol navigation, diagnostics, and language-aware editing through MCP, bridging the gap between what the agent can infer from disk and what the editor actually knows.

A centralized MCP gateway that aggregates and routes requests from multiple IDE clients to backend services, while offloading context tasks to local LLM workers.