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

ZSH on Termux!

Spice up termux with beautiful themes and productivity plugins to make your life easier!

Install ZSH, GIT & LSD

pkg install zsh git lsd vim

Install Oh-My-Zsh

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.

	import argparse
	import json
	import logging
	import os
	import re
	import shutil
	from concurrent.futures import ProcessPoolExecutor, as_completed
	from dataclasses import dataclass
	from datetime import datetime
	from typing import Any, Callable, Dict, List, Literal, Optional, Tuple

	#!/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"