juehang/vscode-mcp-server
by Various
MCP server to expose VS Code editing features to an LLM for AI coding
MCP
juehang/vscode-mcp-server
Added 1 June 2026
Overview
juehang/vscode-mcp-server is an MCP server that exposes VS Code editing features to an LLM. It allows AI coding assistants to programmatically perform code edits within the VS Code environment. The server is written in TypeScript and follows the Model Context Protocol for standardized tool invocation.
Best for
Best for
Developers building AI coding assistants that need to automate edits within VS Code
Use cases
- Enable LLMs to modify code files directly in VS Code
- Automate refactoring and code transformations via AI
- Build AI coding assistants that edit source code programmatically
How to use
Tools exposed
npxnpm
Tested with
Claude Desktop, Claude Code
Example client config
{\n "mcpServers": {\n "vscode-mcp-server": {\n "command": "npx",\n "args": ["mcp-remote@next", "http://localhost:3000/mcp"]\n }\n }\n} Notes
juehang/vscode-mcp-server is an MCP server that exposes VS Code editing features to an LLM. It allows AI coding assistants to programmatically perform code edits within the VS Code environment. The server is written in TypeScript and follows the Model Context Protocol for standardized tool invocation.
369 stars on GitHub. Last updated 2026-01-07. Licensed MIT.
Use cases
- Enable LLMs to modify code files directly in VS Code
- Automate refactoring and code transformations via AI
- Build AI coding assistants that edit source code programmatically
Pros
- Leverages VS Code’s full editing API for precise code modifications
- Uses the standardized Model Context Protocol for easy integration with LLMs
- Written in TypeScript, offering type safety and modern tooling
Cons
- Requires running a server alongside VS Code, adding setup overhead
- Tied to the VS Code ecosystem; not usable in other editors or standalone
- Relatively young project (369 stars) with a smaller community and support
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Leverages VS Code's full editing API for precise code modifications
- Uses the standardized Model Context Protocol for easy integration with LLMs
- Written in TypeScript, offering type safety and modern tooling
Cons
- Requires running a server alongside VS Code, adding setup overhead
- Tied to the VS Code ecosystem; not usable in other editors or standalone
- Relatively young project (369 stars) with a smaller community and support
Pairs with
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