Unlock 4500+ MCPs to a lightweight client!
10My Apify Affiliate link: https://www.apify.com/?fpr=appricot
Discover and test mcp-client-cli, a lightweight Python command-line interface for interacting with MCPs and LLMs. Follow along as we explore its features, architecture (using SQLite for persistence!), and setup process.
We then integrate mcp-client-cli with Apify to access a wide range of MCP tools like web scrapers (Instagram, Twitter, YouTube, Reddit) using a single API key. See live testing with different models like GPT-4o mini and GPT-4o, including debugging tool access issues and configuring Apify actors manually. Can this CLI effectively use tools to find tweets, Instagram posts, and Reddit discussions? Find out!
Timestamps:
00:05 - Lightweight Python MCP CLI Intro
00:44 - Exploring the Architecture Diagram
01:16 - Installation and Setup
01:35 - Python 3.12 Version Requirement
02:13 - Creating Virtual Environment with UV
03:02 - Debugging Pyenv Version Conflict
03:49 - Introducing Apify MCP Integration
04:41 - Configuring the API Key (Apify)
05:10 - First Test Run (4o-mini)
05:22 - Testing Instagram Scraper
06:52 - Switching Model to GPT-4o
07:00 - Debugging Tool Discovery
07:14 - Asking CLI About Available Tools
07:46 - Manually Adding Apify Actors
08:19 - Testing Tweet Scraper (Llama 4)
08:57 - Checking Conversational Memory
09:11 - Retesting TikTok/Instagram Scraper
10:05 - Testing Reddit Scraper
10:17 - Mentioning Goose CLI
Hashtags:
#Python #CLI #MCPClient #LLM #CommandLineInterface #Apify #OpenAI #GPT4o #DeveloperTools #TechDemo #AIScripts #PythonProgramming #VirtualEnv #UV #Pyenv #WebScraping #Debugging