An open-source AI agent that brings the power of Gemini directly into your terminal.
BifrostMCP
VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs
Install
git clone https://github.com/biegehydra/BifrostMCPInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Bifrost - VSCode Dev Tools MCP Server
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
- Install the extension from the VS Code marketplace
- Install any language-specific extensions you need for your development
- 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:
- The server runs on port 8008 by default (configurable with
bifrost.config.json) - Configure your MCP-compatible AI assistant to connect to:
- SSE endpoint:
http://localhost:8008/sse - Message endpoint:
http://localhost:8008/message
- SSE endpoint:
LLM Rules
I have also provided sample rules that can be used in .cursorrules files for better results.
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
{
"mcpServers": {
"Bifrost": {
"command": "cmd",
"args": [
"/c",
"npx",
"-y",
"supergateway",
"--sse",
"http://localhost:8008/sse"
],
"disabled": false,
"autoApprove": [],
"timeout": 600
}
}
}
Mac/Linux Config
{
"mcpServers": {
"Bifrost": {
"command": "npx",
"args": [
"-y",
"supergateway",
"--sse",
"http://localhost:8008/sse"
],
"disabled": false,
"autoApprove": [],
"timeout": 600
}
}
}
Roo Code Installation
- Step 1: Add the SSE config to your global or project-based MCP configuration
{
"mcpServers": {
"Bifrost": {
"url": "http://localhost:8008/sse"
}
}
}
Follow this video to install and use with cursor
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