Autodesk Product Help

Connect Autodesk product docs

Category: Developer Tools
Primary Subcategory: Developer Docs & Reference Search

Integration details

Description

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.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Developer Tools
Primary Subcategory: Developer Docs & Reference Search
Secondary Subcategories: None listed
Brand: Autodesk
Access: No account required
First tracked: 2026-08-18
Tool count: 2
Geography: US

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Primary Subcategory

Competing in ChatGPT Developer Docs & Reference Search

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Listed in alphabetical order

Primary Subcategory

@imqueueDiscoverability Score not live yetGet notified when it goes live

ArezDiscoverability Score not live yetGet notified when it goes live

Autodesk Product HelpDiscoverability Score not live yetGet notified when it goes live

Context7Discoverability Score not live yetGet notified when it goes live

Ezoic SetupDiscoverability Score not live yetGet notified when it goes live

Tools

2 tools agents can invoke

Returns the canonical Autodesk product catalog (closed set). Each item has: product_name, product_code, and release_codes. Use this to discover or validate product values for other product-scoped tools. Not required if valid product context is already available. Terminology: release_codes = the code only (e.g. 2025), not the human-readable release name (release_name, e.g. 'AutoCAD 2025').
get_available_products
Search Autodesk Help/Support documentation and return the most relevant documents for a user question. Use when: - The user asks how to do something in an Autodesk product. - The user reports an error (include the exact error text/code in the query). - The user needs official troubleshooting steps or reference documentation. Call shape (recommended): - Always pass: `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).
search_help_content

Autodesk Product Help FAQ

How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Autodesk Product Help alternatives on ChatGPT?

As of 2026-08-28, Autodesk Product Help competes with @imqueue, Arez, Context7, Ezoic Setup, GitBook, Metaplay SDK Docs, Soracom Knowledge in ChatGPT Developer Docs & Reference Search, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.