mcp-server

Agent-Reach: Give Your AI Agent Real‑time Internet Insight

Name: Agent-Reach: Give Your AI Agent Real‑time Internet Insight
Author: Panniantong

Empower your AI workflows with a single CLI that pulls data from Twitter, Reddit, YouTube, GitHub and more—zero API fees, perfect for founders building data‑driven agents. 86k+ GitHub stars.

intermediate⏱ 30 minutes💵 Free (no API fees or costs)

96,848 stars+4,979★ this week8,470 forksPythonGuide quality 8/10 · reviewed Sep 29Install verified Sep 14Updated 10/8/2026100% free · open source

What it is

Use a command-line interface to access the internet without any API fees.

Real use case example

"A founder like Rachel wants to alert her team when a new competitor launches on YouTube. She sets up an automation in Agent Reach to monitor YouTube and trigger a notification to her team whenever a new video from a competing company is posted. She configures Agent Reach to use its Twitter integration to search for the video and its GitHub integration to scan code related to the project. Once triggered, her team receives instant updates, ensuring they stay ahead of competitors."

Best insideClaude DesktopCursorCodex CLI

When to use it

•When you need to integrate web data into your AI agent's decision-making process
•When you want to monitor and analyze social media platforms for market trends or customer feedback
•When you need to automate tasks involving web data extraction and processing

Ready-to-paste prompt

agent-reach twitter search "#AI startup" --count 100 --lang en

Heads up: Make sure you have the necessary dependencies installed, including Python 3.7 or later, and be aware that some features may require setting up API connections or creating config files

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🔑 Needs an API key✓ Install verified 9/14/2026

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/agent-reach && curl -fsSL https://workflowstacks.com/api/skills/agent-reach/claude-skill -o ~/.claude/skills/agent-reach/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Agent-Reach: Give Your AI Agent Real‑time Internet Insight works

Codeflow

Free to inspect

Agent-Reach: Give Your AI Agent Real‑time Internet Insight is a medium Python project (~6.9k lines across 38 code files, plus 34 test files). Setup is light: installs like a normal app — add your API keys. Reading the code is optional. Last commit this month, MIT license, has a test suite.

Size

Medium codebase

~6.9k lines · 38 code files · 58 min skim

Setup

One-command install

Installs like a normal app — add your API keys. Reading the code is optional.

Runs on

Python

Needs API keys (.env)

Python 96%Shell 3%HTML 1%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
CLAUDE.md
The instructions the AI actually follows
3
agent_reach/cli.py
Where the program starts running
4
pyproject.toml
Dependencies and the commands it exposes
5
.env.example
The API keys and settings you must provide

What's in each folder

agent_reach/Core code — the actual logic50 files

docs/Documentation19 files

config/Configuration1 files

scripts/Helper scripts1 files

tests/Tests — proof it works34 files

.openteams/Tool / agent settings2 files

.github/CI / automation (GitHub Actions)1 files

READMEHas testsDocumentedCI checksMIT licenseUpdated this month