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VSCodeMCP MCP Server

@Ollama-Agent-Roll-Cage

基本情報

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その他

トランスポート

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作者

Ollama-Agent-Roll-Cage

VSCodeMCP MCP Server について

A simple, robust, mcp inference server for groq. Tailored specifically for vscode copilot mcp access.

VSCodeMCP MCP Server の設定

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"
      ]
    }
  }
}

VSCodeMCP MCP Server のツール

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。

概要

What is VSCodeMCP?

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.

How to use VSCodeMCP?

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.

Key features of VSCodeMCP

  • Easy tool definition with simple Python functions
  • Automatic VS Code configuration generation
  • Seamless integration with the FastMCP library
  • Optional Groq LLM support for AI-driven tools
  • URL generation for easy server installation
  • Secure input handling and auto-generated server scripts

Use cases of VSCodeMCP

  • Creating custom MCP servers for VS Code’s Copilot agent
  • Integrating Groq-powered chat and code generation tools
  • Sharing reusable MCP configuration files across workspace
  • Building and testing MCP tools locally with FastMCP

よくある質問

1

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.

2

How do I install a server into VS Code?

Use the CLI command `python -m vscode_mcp install path/to/server.py --user`, or use the `--install` flag with the `create` command.

3

Where does the configuration get saved?

The module generates a `.vscode/mcp.json` file and a Python server script in the workspace.

4

What Groq models are available?

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.

5

Can VSCodeMCP be used without Groq?

Yes. The core `VSCodeMCP` class works without Groq; `GroqVSCodeMCP` is an optional extension for Groq-powered tools.

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