⚡️ ContextHub

Instant AI Tools for Cursor & Claude. Zero Local Installs.

🚀 What is ContextHub?

Model Context Protocol (MCP) servers are incredible—they give your AI agents (like Claude or Cursor) superpowers to browse the web, check GitHub, and fetch live data.

But setting them up is usually a nightmare.

Instead of forcing you to clone repositories, configure Python/Node environments, debug local ports, or run Docker containers, ContextHub is a fully-hosted, plug-and-play solution. It runs as a Netlify Serverless Function, meaning you can connect it to your favorite AI editor in 10 seconds flat.

Related MCP server: GenTech Agent Kit

🛠️ Included Tools (Out of the Box)

Your AI agent instantly gets access to these premium tools:

1. 🧹 Clean Web Scraper (fetch_clean_markdown)

   • Give your AI any URL, and it instantly strips away ads, tracking scripts, and pop-ups. It returns clean, token-efficient Markdown that your LLM can actually read.

2. 🐙 GitHub Repo Inspector (inspect_github_repo)

   • Let your AI read open issues, check the file tree, and analyze recent releases of any public repository—without needing to git clone anything locally.

3. 📈 Real-Time Market Data (get_market_quote)

   • Live cryptocurrency and fiat pricing snapshots, complete with 24-hour volume and percentage changes, delivered as structured JSON.

⚡ How to Connect in 10 Seconds

No installations. No terminal commands.

For Cursor IDE:

1. Open Cursor Settings ➔ Features ➔ MCP Servers

2. Click + Add New MCP Server

3. Set Type to SSE and paste your deployment URL (e.g., https://contexthub.netlify.app/sse).

4. Click Save and start prompting!

For Claude Desktop:

1. Open your Claude configuration file.

2. Paste in your deployment URL.

3. Restart Claude Desktop. The hammer icon will now show your new superpowers!

🌍 Try it Live

ContextHub comes with a built-in Live In-Browser Tester. Just navigate to your deployed URL in any web browser to access a sleek, dark-mode dashboard where you can manually test the tools before connecting them to your AI.

Ready to supercharge your AI workflows? Follow the deployment steps to get your own instance running for free!