What are the dependencies for VSCodeMCP?
Requires Python 3.7+, the `fastmcp` library, and Visual Studio Code with Copilot. The `groq` library and a Groq API key are needed only for Groq integration.
@Ollama-Agent-Roll-Cage
基本情報
A simple, robust, mcp inference server for groq. Tailored specifically for vscode copilot mcp access.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"groq-mcp": {
"command": "python",
"args": [
"-m",
"vscode_mcp",
"create",
"My MCP Server",
"--tool",
"hello_world",
"Responds with a greeting",
"--install"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
VSCodeMCP is a Python module for creating and managing MCP (Model Context Protocol) servers for Visual Studio Code’s Copilot agent feature, with optional Groq LLM integration. It allows users to define tools, resources, and prompts, generate VS Code configuration files, and install servers.
Install required dependencies (pip install fastmcp and optionally pip install groq), then create a VSCodeMCP or GroqVSCodeMCP instance, add tools, and call setup_vscode_workspace(). A CLI is also available (python -m vscode_mcp create / install) for creating and installing servers.
Requires Python 3.7+, the `fastmcp` library, and Visual Studio Code with Copilot. The `groq` library and a Groq API key are needed only for Groq integration.
Use the CLI command `python -m vscode_mcp install path/to/server.py --user`, or use the `--install` flag with the `create` command.
The module generates a `.vscode/mcp.json` file and a Python server script in the workspace.
Text models (e.g., LLAMA_3_70B, LLAMA_3_2_11B), vision models (e.g., LLAMA_3_1_70B_VISION), and code models (e.g., QWEN_CODER, DEEPSEEK_DISTILL_LLAMA_70B) are listed.
Yes. The core `VSCodeMCP` class works without Groq; `GroqVSCodeMCP` is an optional extension for Groq-powered tools.

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