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2 changes: 1 addition & 1 deletion units/en/unit1/gradio-mcp.mdx
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Expand Up @@ -67,7 +67,7 @@ if __name__ == "__main__":
With this setup, your letter counter function is now accessible through:

1. A traditional Gradio web interface for direct human interaction
2. An MCP Server that can be connected to compatible clients
2. A MCP Server that can be connected to compatible clients

The MCP server will be accessible at:
```
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2 changes: 1 addition & 1 deletion units/en/unit1/hf-mcp-server.mdx
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Expand Up @@ -3,7 +3,7 @@
The Hugging Face MCP (Model Context Protocol) Server connects your MCP‑compatible AI assistant (for example VS Code, Cursor, Zed, or Claude Desktop) directly to the Hugging Face Hub. Once connected, your assistant can search and explore Hub resources and use community tools, all from within your editor, chat or CLI.

> [!TIP]
> The main advanatage of the Hugging Face MCP Server is that it provides a built-in tools for the hub as well as community tools based on Gradio Spaces. As we start to build our own MCP servers, we'll see that we can use the Hugging Face MCP Server as a reference for our own MCP servers.
> The main advantage of the Hugging Face MCP Server is that it provides built-in tools for the hub as well as community tools based on Gradio Spaces. As we start to build our own MCP servers, we'll see that we can use the Hugging Face MCP Server as a reference for our own MCP servers.

## What you can do

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3 changes: 2 additions & 1 deletion units/en/unit1/mcp-clients.mdx
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Expand Up @@ -46,7 +46,8 @@ Hugging Face provides a hosted MCP server with built-in tools for exploring mode
3. Copy the generated configuration snippet into your client's MCP config.
4. Restart or reload your client. You should see “Hugging Face” connected.

Tip: Prefer the generated snippet over hand-written config; it’s tailored per client.
> [!TIP]
> Prefer the generated snippet over hand-written config since it’s tailored per client.

## Configuring MCP Clients

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