"VSCO" matching MCP servers:

An MCP server that exposes Language Server Protocol features to external clients, allowing access to hover information, definitions, completions, references, and rename functionalities.

MCP server that wraps STM32CubeMX CLI to let AI load .ioc projects, modify pin/peripheral configurations, generate HAL code, and export pinout tables.

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

Exposes the active file and selection(s) from VS Code to MCP clients, enabling CLI coding agents to access current editor context.

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

A portable MCP server enabling AI assistants to operate VS Code, including file management, extension control, and workspace automation.

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

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

Local MCP server that connects VS Code agents like Cline to OpenAI and provides workspace file tools (read, write, list) with restricted file access.

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.

Enables AI coding agents and AI IDEs to pull real-time LSP diagnostics, type/hover/signature information, and code navigation from a running editor, replacing slow tsc and eslint runs. Also supports workspace-wide symbol renaming, reference lookup with usage context, opening files, and listing open editor windows.

Enables MCP-compatible AI coding agents to access real-time editor-native LSP diagnostics, type information, code navigation, and workspace-wide symbol renaming without waiting for slow tsc/eslint checks.

Enables AI coding agents and MCP-compatible clients to access an open editor's real-time language-server diagnostics, type and symbol information, code references, and workspace-wide symbol renaming without waiting for slow tsc/eslint checks.

Enables AI agents to access VS Code's LSP-based code navigation and native debugging tools (definitions, references, outline, breakpoints, stepping, stack frames, variables, and evaluate) via the MCP protocol.

Exposes the Jupyter notebooks open in VS Code to MCP-compatible AI agents, letting them edit cells in the open editor and execute them in the live kernel without file conflicts. Agents can make partial edits, track stale cells, inspect variables, and manage kernels while preserving the user's interpreter choices and unsaved work.

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.

Enables AI coding agents to query a running editor's language server in real time for diagnostics, hover/signature/definition info, and reference lists, plus workspace-wide symbol renaming and file opening — replacing slow tsc/eslint/build runs. Requires the companion bridge extension, which the server talks to over a per-workspace socket, and is also exposed as a CLI with matching subcommands.

Enables AI coding agents and MCP clients to query a live VSCode instance for real-time LSP diagnostics, hover/signature/type information, references, and workspace-wide symbol renaming, replacing slow tsc and eslint runs. Also supports opening files and executing VSCode commands through the bridge extension.

Enables Claude to search products, manage shopping carts, and compare prices across Continente, Pingo Doce, and Auchan, with optional skills for weekly meal planning and finding the cheapest basket.

Enables AI coding agents and MCP-compatible clients to pull real-time language-server data from a running editor instance, including diagnostics, hover/definition/signature info, symbol references, file opening, and workspace-wide renames. This replaces slow tsc and eslint runs with instant feedback, with a matching CLI for agents that shell out instead of registering an MCP server.

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 leverage VS Code's language intelligence for code navigation, refactoring, and analysis via the MCP protocol.

Enables Claude to interact with VS Code's language servers, debugger, terminals, tasks, tests, git, and a CDP-controlled Chrome browser for editor and browser automation.

Exposes Language Server Protocol (LSP) functionality as Model Context Protocol (MCP) tools, enabling AI clients to programmatically analyze and edit code in any language supported by VS Code.

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.

Enables interaction with VSCode and its forks like Cursor and Windsurf, supporting file management (opening/closing files) and theme management.

Enables AI coding agents to query a running VSCode instance for real-time LSP data such as diagnostics, hover/definition/signature info, and symbol references instead of waiting on slow tsc or eslint runs. Also supports workspace-wide symbol renaming, opening files, listing workspaces, and executing VSCode commands.

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.

Enables Claude Code to use VS Code's tools, including diagnostics, symbol renaming, command execution, file opening, workspace listing, semantic search/API reference, terminal context, and integrated browser page interaction. It lets Claude see and act on the user's VS Code window, including shared browser pages and Markdown Editor selections.

Enables AI coding agents and MCP clients to pull real-time language-server diagnostics, hover/type information, reference navigation with usage context, and workspace-wide symbol renaming without running slow tsc or eslint checks. It also supports opening files and executing editor commands against a specific open workspace.