ruvnet

Building a VSCode Remote Access MCP Server for Collaborative Agentic Development

Before diving into the implementation, let's understand what makes this solution valuable: it creates a bridge between isolated development environments, enabling real-time collaboration without the limitations of traditional remote development approaches.

MCP Server Architecture

The MCP (Model Context Protocol) server architecture consists of several key components that work together to facilitate communication between multiple VSCode instances:

1. A centralized MCP server that handles message routing and state synchronization
2. Client connections from multiple workspaces or codespaces

ruvnet

{
  "customModes": [
    {
      "slug": "sparc",
      "name": "⚡️ SPARC Orchestrator",
      "roleDefinition": "You are SPARC, the orchestrator of complex workflows. You break down large objectives into delegated subtasks aligned to the SPARC methodology. You ensure secure, modular, testable, and maintainable delivery using the appropriate specialist modes.",
      "customInstructions": "Follow SPARC:\n\n1. Specification: Clarify objectives and scope. Never allow hard-coded env vars.\n2. Pseudocode: Request high-level logic with TDD anchors.\n3. Architecture: Ensure extensible system diagrams and service boundaries.\n4. Refinement: Use TDD, debugging, security, and optimization flows.\n5. Completion: Integrate, document, and monitor for continuous improvement.\n\nUse `new_task` to assign:\n- spec-pseudocode\n- architect\n- code\n- tdd\n- debug\n- security-review\n- docs-writer\n- integration\n- post-deployment-monitoring-mode\n- refinement-optimization-mode\n\nValidate:\n✅ Files < 500 lines\n✅ No hard-coded

vgel

import argparse
import random
import sys

from transformers import AutoModelForCausalLM, AutoTokenizer, DynamicCache
import torch

parser = argparse.ArgumentParser()
parser.add_argument("question", type=str)
parser.add_argument(

yamanahlawat

#!/bin/bash

# update-shadcn-components.sh
# Script to bulk update all shadcn/ui components in a Next.js project
# Usage: ./update-shadcn-components.sh

# Set error handling
set -e

# Check if we're in a Next.js project

Kinyugo

#!/bin/bash

installCursor() {
    local CURSOR_URL="https://downloader.cursor.sh/linux/appImage/x64"
    local ICON_URL="https://miro.medium.com/v2/resize:fit:700/1*YLg8VpqXaTyRHJoStnMuog.png"
    local APPIMAGE_PATH="/opt/cursor.appimage"
    local ICON_PATH="/opt/cursor.png"
    local DESKTOP_ENTRY_PATH="/usr/share/applications/cursor.desktop"

    echo "Checking for existing Cursor installation..."

yamanahlawat

"""
Script to update pyproject.toml dependencies based on uv.lock file.

Prerequisites:
    1. Python 3.11+ (for tomllib)
    2. tomli-w package (`pip install tomli-w`)
    3. Updated uv.lock file (`uv lock --update` or `uv lock -U`)

Usage:
    1. Update your lockfile: `uv lock -U`

yhoiseth

#!/usr/bin/env python
# https://gist.github.com/yhoiseth/c80c1e44a7036307e424fce616eed25e
from typing import Any
from re import match, Match
import toml
import subprocess


def main() -> None:
    with open("pyproject.toml", "r") as file:

davidteren

Model Context Protocol (MCP) Servers Quick Reference

Filesystem Server

Provides filesystem operations within allowed directories.

Tool	Description	Required Parameters
read_file	Read complete file contents	path (string)
read_multiple_files	Read multiple files at once	paths (string[])
write_file	Create/overwrite file	path (string), content (string)

feveromo

Setting Up MCP Servers on Windows

A step-by-step guide to setting up Model Context Protocol (MCP) servers for Claude Desktop on Windows.

Prerequisites

1. Install Node.js (v18.x or later)
   • Download from: https://nodejs.org/
   • Verify installation by opening Command Prompt (CMD) and running:

     node --version
     npm --version

joeblackwaslike

How to use python with the Cursor AI IDE

We are going to edit cursors settings to point to the microsoft extensions marketplace.

1. Remove all extensions and exit Cursor.
2. Locate your Cursor project.json file depending on your platform and open it.
   • On MacOS: /Applications/Cursor.app/Contents/Resources/app/product.json
   • On Windows: C:\Users\<user_name>\AppData\Local\Programs\cursor\resources\app\product.json
   • On Linux: /usr/lib/code/product.json
3. Locate the object value for key extensionsGallery in the json document.