Chris christopherwoodall

Claude MCP Setup Script

This script automatically installs and configures MCP (Model Context Protocol) servers for Claude Desktop on macOS. It allows you to enhance Claude with various capabilities like web search, file access, Python execution, and more.

Installation

Run this one-liner in your Terminal:

curl -fsSL https://gist.githubusercontent.com/GITHUB_USERNAME/GIST_ID/raw/claude-mcp-setup.sh | bash

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

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
```

Original report

Affected Vendor: OpenPrinting
Affected Product: Several components of the CUPS printing system: cups-browsed, libppd, libcupsfilters and cups-filters.
Affected Version: All versions <= 2.0.1 (latest release) and master.
Significant ICS/OT impact? no
Reporter: Simone Margaritelli [[email protected]]
Vendor contacted? yes The vendor has been notified trough Github Advisories and all bugs have been confirmed:

https://github.com/OpenPrinting/cups-browsed/security/advisories/GHSA-rj88-6mr5-rcw8

FAQ on the xz-utils backdoor (CVE-2024-3094)

This is a living document. Everything in this document is made in good faith of being accurate, but like I just said; we don't yet know everything about what's going on.

Update: I've disabled comments as of 2025-01-26 to avoid everyone having notifications for something a year on if someone wants to suggest a correction. Folks are free to email to suggest corrections still, of course.

Background

This worked on 14/May/23. The instructions will probably require updating in the future.

llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet. It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)

Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.

It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.

Clone llama.cpp from git, I am on commit 08737ef720f0510c7ec2aa84d7f70c691073c35d.

Linux based Python enviroment for Windows systems using WSL

The following document will guide you through to install WSL, Ubuntu distro, python,pyenv and poetry

Install WSL and Linux Distro for Windows Machine

If you are using Linux based system skip these steps for installing wsl & Ubuntu

First you need to Make sure your Windows version is at least Windows 10, version 2004. You can check your Windows version by going to Settings > System > About.

	#!/bin/bash

	if [ -z "$1" ]; then
	echo "Usage: $0 <input_video>"
	exit 1
	fi

	input_file="$1"

	if [ -z "$2" ]; then

	#!/bin/bash
	BS=64M
	ROOT_DEV=/dev/mmcblk0
	BOOTFS_BACKUP=${ROOT_DEV}p3
	BOOTFS_TARGET=${ROOT_DEV}p1
	ROOTFS_BACKUP=${ROOT_DEV}p2
	ROOTFS_TARGET=${ROOT_DEV}p4

	print_yellow() {
	echo -e "\033[1;33m${1}\033[0m"

	#!/usr/bin/python3

	import docker
	from io import BytesIO
	import os
	import re
	import tarfile
	import time