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Copy file name to clipboardExpand all lines: learn-pr/wwl-data-ai/get-started-with-text-analysis-in-azure/includes/4-language-mcp.md
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@@ -18,50 +18,23 @@ You can access the Azure Language MCP server and other Foundry Tools in the *new
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:::image
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type: content
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source: ../media/azure-language-mcp-details.png
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alt-text: Screenshot of the Azure Language MCP server description page in the new Foundry portal.
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lightbox: ../media/azure-language-mcp-details.png
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## Use the Azure Language MCP Server in Foundry portal
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You can start out in the *new* Foundry portal by deploying a model and saving it in the Foundry playground as an agent.
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:::image
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type: content
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source: ../media/agent-playground.png
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alt-text: Screenshot of the agent in the Foundry playground.
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lightbox: ../media/agent-playground.png
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> [!NOTE]
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> A Foundry resource provides a unified environment that already includes access to Language tools. You do not need to create a separate Azure Language resource to access the Azure Language MCP server.
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You can add tools, such as **Azure Language in Foundry Tools**, to your agent in the Foundry playground.
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:::image
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type: content
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source: ../media/add-tool-to-agent.png
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alt-text: Screenshot of the tool browser open in the playground and the Azure Language in Foundry Tools selected.
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lightbox: ../media/add-tool-to-agent.png
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To connect to the Azure Language MCP server, you need to configure your connection with your *Foundry resource name*. Once you've connected the MCP server to an agent as a tool, you can use prompts to instruct the agent to use the tool to analyze text. The ability to use Azure Language as a tool in an agent helps you build agentic solutions that make sense of text documents.
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:::image
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type: content
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source: ../media/language-agent-response.png
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alt-text: Screenshot of Azure Language in Foundry Tools used in the Foundry playground.
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