Apify retweeted
Blank connection requests on LinkedIn: 12% acceptance
Connection requests to active profiles: 20% acceptance
Simply:
1. Use actor from Apify to identify active profiles
2. Score list based on activity
3. Put active profiles at the top of your list
Easy.
How many tokens does your agent burn just reading its tool list?
@DivyanshT91162 walks through mcpc, Apify’s CLI that connects to Apify MCP through one Bash tool, finds tools on demand, and keeps credentials protected.
One install, and you’re in 👇
Your AI agent might be wasting thousands of tokens just figuring out which tools it can use.
Apify built a CLI to change how AI agents interact with MCP.
Meet "mcpc" — a universal MCP client that lets an AI agent access MCP servers through a single Bash tool instead of wiring up dozens of separate tool functions.
Here's why this is interesting:
→ Dynamic tool discovery: Find the tools you need instead of loading everything into context upfront.
→ Persistent sessions: Keep multiple MCP server connections alive in parallel.
→ Full MCP support: Access tools, resources, prompts, tasks, and skills through shell commands.
→ Security built in: OAuth 2.1, OS keychain credential storage, and a proxy to protect credentials from AI-generated code.
→ Composable workflows: Pipe JSON output into "jq", "xargs", and other shell utilities to build repeatable automations.
Get started:
"npm install -g @apify/mcpc"
Then connect to an MCP server:
"mcpc connect mcp.apify.com @apify"
The bigger idea?
Stop flooding your AI agent with tools. Let it discover the right ones when it needs them.
MCP provides the standard. The CLI gives agents a familiar interface to use it.
REPOO👇
AI engineering has moved from novelty to standard practice - the industry is figuring out how to make agents dependable. And dependable agents need proper tools. Three days at AIE NYC well spent.
Thanks, @aiDotEngineer team 🙌
An Actor is not a scraper. Get that wrong, and nothing about Apify makes sense.
It’s a cloud program - input in, data out, no server to own. Hand one to an AI agent, and get the job done.
Equip your AI agents with thousands of tools on Apify ↓
apify.it/4dNfinx
Every agent needs proper tools. @TechWithTimm connects @claudeai to Apify MCP, pulls live data from five platforms for $2.71 total, then builds a skill that finds and pitches new clients.
What would you have your agent find first? 🤔
Here’s how to give your AI agent access to data from almost any website.
We’ll connect Apify through MCP, then use it to pull data from Google Maps, Instagram, TikTok, LinkedIn, and YouTube.
At the end, I’ll combine those tools into a skill that finds and scores potential clients.
Timestamps:
00:00 | Overview
00:27 | The Problem
01:36 | What Is Apify?
03:16 | Apify MCP
03:59 | Connecting Apify to Claude
05:42 | Demo 1: Google Maps
07:34 | Demo 2: Instagram
08:32 | Demo 3: TikTok
09:21 | Demo 4: LinkedIn
10:18 | Demo 5: YouTube
11:32 | Combining Everything into a Skill
Seeing Apify help ideas come to life is the best part of any event. Thanks for the kind words, @NadineCodes! 🙌
The Apify team will be at the @BoxWorks Developer Summit in SF, Nov 5–6. Unstructured data, AI agents, and the tools that connect them - come say hi 👋
Registration link below ↓
At the BoxWorks Developer Summit, join developers, AI engineers, and technical leaders for two days of talks and hands-on workshops exploring how to unlock AI with unstructured data.
Hear what’s next for the Box platform, build with Box APIs, SDKs, and AI agents, and explore real-world enterprise use cases.
Speakers include technical leaders from Box, @nvidia, @OpenAI, @getpostman, and @daytonaio.
Registration includes access to both BoxWorks and the Dev Summit: boxworks.box.com/series/boxw…





















