Copy this into your AI chat (Claude, ChatGPT, Gemini, or any MCP-compatible assistant) and hit send:

Go through https://mcp.s4b.be/sse and tell me what S4B does — trainings, hardware, consulting, everything.

That's it. Your AI will browse our content and answer.
Change the question to anything you want — it has access to all our public pages.

Cursor — create or edit .cursor/mcp.json:

{
  "mcpServers": {
    "s4b-content": {
      "url": "https://mcp.s4b.be/sse",
      "transport": "sse"
    }
  }
}

VS Code — create or edit .vscode/mcp.json:

{
  "servers": {
    "s4b-content": {
      "url": "https://mcp.s4b.be/sse",
      "type": "sse"
    }
  }
}

Prerequisite: pip install mcp

import asyncio
from mcp import ClientSession
from mcp.client.sse import sse_client

async def main():
    async with sse_client("https://mcp.s4b.be/sse") as (read, write):
        async with ClientSession(read, write) as session:
            await session.initialize()

            tools = await session.list_tools()
            print(f"{len(tools.tools)} tools available")

            result = await session.call_tool("search_pages", {
                "model": "claude-4-opus",
                "query": "AI training"
            })
            print(result.content[0].text)

asyncio.run(main())

All tools require the model parameter (e.g. "claude-4-opus").