The Autodesk® Product Help Model Context Protocol (MCP) Server connects AI agents directly to Autodesk’s official product documentation across 110+ products including Autodesk Fusion®, AutoCAD®, Revit®, Inventor®, Maya®, Civil 3D®, and more. As a secure, read-only interface, it allows AI tools to search, navigate, and retrieve trusted Autodesk help content. This enables support for natural language queries, accelerates onboarding, and provides a reliable foundation for intelligent agents built on authoritative Autodesk product documentation. Key Features: - Ask support questions using natural language. - Learn and onboard to Autodesk products faster. - Create a foundation for AI agents and automation. - Available in 10 languages: English (United States), French (France), German (Germany), Spanish (Spain), Portuguese (Brazil), Italian (Italy), Japanese (Japan), Korean (Korea), Chinese (Simplified), and Russian (Russia) Requirements: No special requirements. About Autodesk The world's designers, engineers, builders, and creators trust Autodesk to help them design and make anything. From the buildings we live and work in, to the cars we drive and the bridges we drive over. From the products we use and rely on, to the movies and games that inspire us. Autodesk's Design and Make Platform unlocks the power of data to accelerate insights and automate processes, empowering our customers with the technology to create the world around us and deliver better outcomes for their business and the planet. For more information, visit https://www.autodesk.com.
query, locale. - If your agent has a default product context, pass it directly via product_code (preferred) or product_name. - Pass release_code only when you can validate it for that product. Behavior: 1) Locale: - Read locale from your current context. Do not guess locale. - Pass that locale as the locale parameter. 2) Product and release filters (best-effort): - If your agent already has a default product_code or product_name, pass it directly. - Only call get_available_products to validate/normalize when: a) product is missing/unknown in context, OR b) the user explicitly specifies a product that may differ from your default, OR c) you have a release_code that may not be valid for the product, OR d) the product/release value appears malformed or not an allowed enum/value. - If you cannot confidently map to an exact allowed value from get_available_products, omit that field rather than guessing. - If both product_name and product_code are present, they must refer to the same product; product_code takes precedence. 3) Query construction: - Make the query keyword-rich: include product + feature/task nouns. - Include exact error text/codes when relevant. - Use the user's wording where possible. - Do not include secrets, credentials, or personal data. Returns: - Up to max_results documents sorted by relevance. Each item includes title, url, locale, body, media_type, source (and may include internal IDs for debugging/deduplication).Click any prompt to copy it.
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