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VSCodeMCP MCP Server

@Ollama-Agent-Roll-Cage

Repository

Basic information

Category

Other

Transports

stdio

Author

Ollama-Agent-Roll-Cage

About VSCodeMCP MCP Server

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

VSCodeMCP MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

VSCodeMCP MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

Comments

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