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VS Code Extensions Installer

MCP Server

Automatically search and install VS Code extensions in Cursor IDE

Stale(50)
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Updated May 13, 2025

About

A Model Context Protocol server that lets users search for VS Code extensions using natural language and automatically download, validate, and install them into Cursor IDE.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The MCP Server for VS Code Extensions bridges the gap between AI assistants and the vast ecosystem of Visual Studio Code extensions. In many modern development workflows, an AI assistant such as Claude or GPT can suggest a tool or library that would speed up coding. However, the assistant often lacks a direct way to install that tool into the developer’s environment. This server solves that problem by exposing two intuitive MCP endpoints—search_extensions and install_extension—that let an AI client discover, rank, and install extensions from the official VS Code Marketplace directly into Cursor IDE.

When a developer asks an AI for “a good SQLite viewer,” the assistant can call search_extensions with a natural‑language query. The server queries the marketplace, applies smart ranking based on install counts and user ratings, and returns a curated list of candidate extensions. Each result includes metadata such as publisher, display name, version, and a ready‑to‑use install command. The assistant can then present this list to the user, or even proceed automatically if a default choice is pre‑selected.

Once an extension is chosen, the install_extension endpoint handles the entire installation pipeline. It downloads the VSIX package (respecting gzip compression), validates the archive, and copies it to the correct Cursor extensions directory. The server reports success or failure along with the file path, allowing the AI to confirm completion or retry automatically. This end‑to‑end flow eliminates manual browsing of the marketplace, reduces friction in setting up new tooling, and keeps the developer’s environment consistent across machines.

Key features that make this server valuable include:

  • Natural‑language search: Users can describe the desired functionality without knowing exact extension names.
  • Smart ranking: Popular and highly rated extensions surface first, improving recommendation quality.
  • Automated installation: From download to placement in the IDE, no manual steps are required.
  • Robust validation: Gzipped VSIX files are correctly handled, and integrity checks prevent corrupted installs.
  • Cursor‑aware integration: Extensions land in the exact directory that Cursor uses, ensuring they are immediately available.

Real‑world scenarios where this MCP server shines include onboarding new developers who need a specific linter or database viewer, continuous integration pipelines that automatically equip build agents with required extensions, and AI‑driven pair programming sessions where the assistant can instantly add a debugging tool. By embedding this server into an AI workflow, developers gain a seamless bridge between conversational intent and tangible tooling, accelerating productivity and reducing context switching.