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VSCodeMCP MCP Server

@Ollama-Agent-Roll-Cage

代码仓库

基本信息

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其他

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stdio

作者

Ollama-Agent-Roll-Cage

关于 VSCodeMCP MCP Server

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

VSCodeMCP MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "groq-mcp": {
      "command": "python",
      "args": [
        "-m",
        "vscode_mcp",
        "create",
        "My MCP Server",
        "--tool",
        "hello_world",
        "Responds with a greeting",
        "--install"
      ]
    }
  }
}

VSCodeMCP MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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