VSCode Devtools

This VS Code extension provides a Model Context Protocol (MCP) server that exposes VSCode's powerful development tools and language features to AI tools. It enables advanced code navigation, analysis, and manipulation capabilities when using AI coding assistants that support the MCP protocol.
Table of Contents
- Features
- Installation/Usage
- Multi-Project Support
- Available Tools
- Available Commands
- Troubleshooting
- Contributing
- Debugging
- License
Features
- **Language Server Integration**: Access VSCode's language server capabilities for any supported language
- **Code Navigation**: Find references, definitions, implementations, and more
- **Symbol Search**: Search for symbols across your workspace
- **Code Analysis**: Get semantic tokens, document symbols, and type information
- **Smart Selection**: Use semantic selection ranges for intelligent code selection
- **Code Actions**: Access refactoring suggestions and quick fixes
- **HTTP/SSE Server**: Exposes language features over an MCP-compatible HTTP server
- **AI Assistant Integration**: Ready to work with AI assistants that support the MCP protocol
Usage
Installation
1. Install the extension from the VS Code marketplace
2. Install any language-specific extensions you need for your development
3. Open your project in VS Code
Configuration
The extension will automatically start an MCP server when activated. To configure an AI assistant to use this server:
1. The server runs on port 8008 by default (configurable with bifrost.config.json)
2. Configure your MCP-compatible AI assistant to connect to:
- SSE endpoint: http://localhost:8008/sse
- Message endpoint: http://localhost:8008/message
LLM Rules
I have also provided sample rules that can be used in .cursorrules files for better results.
Example Cursor Rules
Example MDC Rules
Cline Installation
- Step 1. Install Supergateway
- Step 2. Add config to cline
- Step 3. It will show up red but seems to work fine
Windows Config
Mac/Linux Config
Roo Code Installation
- Step 1: Add the SSE config to your global or project-based MCP configuration
Follow this video to install and use with cursor
FOR NEW VERSIONS OF CURSOR, USE THIS CODE
Multiple Project Support
When working with multiple projects, each project can have its own dedicated MCP server endpoint and port. This is useful when you have multiple VS Code windows open or are working with multiple projects that need language server capabilities.
Project Configuration
Create a bifrost.config.json file in your project root:
The server will use this configuration to:
- Create project-specific endpoints (e.g., http://localhost:5642/my-project/sse)
- Provide project information to AI assistants
- Use a dedicated port for each project
- Isolate project services from other running instances
Example Configurations
1. Backend API Project:
2. Frontend Web App:
Port Configuration
Each project should specify its own unique port to avoid conflicts when multiple VS Code instances are running:
- The port field in bifrost.config.json determines which port the server will use
- If no port is specified, it defaults to 8008 for backwards compatibility
- Choose different ports for different projects to ensure they can run simultaneously
- The server will fail to start if the configured port is already in use, requiring you to either: