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Merge pull request #502 from karenwky/mcp-course-link-refactor
Add MCP course link
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units/en/unit1/tools.mdx

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This means that **any framework implementing MCP can leverage tools defined within the protocol**, eliminating the need to reimplement the same tool interface for each framework.
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If you want to dive deeper about MCP, you can check our [free MCP Course](https://huggingface.co/learn/mcp-course/).
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Tools play a crucial role in enhancing the capabilities of AI agents.

units/en/unit2/llama-index/tools.mdx

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LlamaIndex also allows using MCP tools through a [ToolSpec on the LlamaHub](https://llamahub.ai/l/tools/llama-index-tools-mcp?from=).
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You can simply run an MCP server and start using it through the following implementation.
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If you want to dive deeper about MCP, you can check our [free MCP Course](https://huggingface.co/learn/mcp-course/).
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<details>
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<summary>Install the MCP Toolspec</summary>
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As introduced in the <a href="./llama-hub">section on the LlamaHub</a>, we can install the MCP toolspec with the following command:

units/en/unit2/smolagents/tools.mdx

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### Importing a tool collection from any MCP server
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`smolagents` also allows importing tools from the hundreds of MCP servers available on [glama.ai](https://glama.ai/mcp/servers) or [smithery.ai](https://smithery.ai).
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`smolagents` also allows importing tools from the hundreds of MCP servers available on [glama.ai](https://glama.ai/mcp/servers) or [smithery.ai](https://smithery.ai). If you want to dive deeper about MCP, you can check our [free MCP Course](https://huggingface.co/learn/mcp-course/).
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<details>
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<summary>Install mcp client</summary>

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