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Konrad Sokołowskiclaude
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Add Maia Web Fetch capability documentation
Introduces documentation for Maia's web fetch capability, which allows Maia to retrieve content from public websites and APIs. The new page covers what can be fetched, limitations, and troubleshooting guidance. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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content/en/docs/refguide/modeling/mendix-ai-assistance/maia-make/_index.md

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* [Maia for Workflows](/refguide/maia-for-workflows/) (in Studio Pro 11.9 and above)
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* [[Maia for OQL](/refguide/maia-for-oql/)] (in Studio Pro 11.9 and above)
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* [Maia MCP Client](/refguide/maia-mcp/)
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* [Maia Web Fetch](/refguide/maia-web-fetch/)
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In Studio Pro 11.8 and above, most of the features described in the documents above are available only through the chat interface. There are no separate entry points to these features in their respective editors. [Maia Explain](/refguide/maia-explain/) is an exception. You can still access this feature by right-clicking the documents (for example, microflows or pages) in the **App Explorer** and the **Maia Explain** option is in the context menu.
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---
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title: "Maia Web Fetch"
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linktitle: "Web Fetch"
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url: /refguide/maia-web-fetch/
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weight: 90
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description: "Describes Maia's web fetch capability for retrieving content from public websites and APIs."
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#If moving or renaming this doc file, implement a temporary redirect and let the respective team know they should update the URL in the product. See Mapping to Products for more details.
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---
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## Introduction
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{{% alert color="info" %}}
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This feature is available in Studio Pro 11.10 and above.
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To use Maia Web Fetch, an internet connection and signing in to Studio Pro are required.
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{{% /alert %}}
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Maia can fetch and read content from public websites and APIs. This allows Maia to retrieve documentation, access API endpoints, read configuration files, and gather information from the web to assist with your development tasks.
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When Maia wants to fetch content from the web, it will ask for your permission first. You can approve or deny each request.
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## What Maia Can Fetch
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Maia can retrieve the following types of content:
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* Public web pages and documentation
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* JSON, XML, and other text-based data formats
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* Plain text files and code samples
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* Feeds and structured data endpoints
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## Limitations
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Maia cannot access:
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* **Internal or private addresses** — Maia will not fetch from localhost, private IP ranges (like 192.168.x.x or 10.0.0.x), or your local machine's internal services.
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* **Binary content** — Images, videos, PDFs, and archives cannot be fetched. If a URL serves binary content, Maia will not be able to read it.
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* **Very large responses** — Responses larger than 1 MB will be rejected.
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* **Non-HTTPS URLs** — Only secure HTTPS connections are supported.
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## Troubleshooting {#troubleshooting}
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If Maia says it cannot fetch a URL, check:
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* **Is it a public URL?** — The URL must be accessible without authentication and must point to a public server, not an internal service.
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* **Does the server block automated access?** — Some servers reject requests from automated clients. Maia may not be able to bypass these restrictions.
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* **Is it binary content?** — If the URL returns images, PDFs, or other non-text formats, Maia cannot process it.
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* **Is the response too large?** — Very large pages or files may exceed the size limit.
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## Read More
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* [Mendix AI Assistance (Maia)](/refguide/mendix-ai-assistance/)
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* [Maia Chat](/refguide/maia-chat/)

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