Autodesk MCP Server

Overview

The Autodesk Platform Services (APS) MCP server is a bridge between AI assistants and the rich ecosystem of Autodesk APIs. By exposing a set of well‑defined tools and prompts, it lets developers query APS documentation, introspect Model Derivative data, and embed these capabilities directly into conversational agents such as Claude or Cursor. The server eliminates the need for custom integration code, allowing AI assistants to request real‑time information about APS services without exposing credentials or handling authentication flows.

Problem Solved

Working with Autodesk’s cloud platform can be daunting: each service has its own authentication, rate limits, and data formats. Developers building AI assistants often struggle to surface up‑to‑date API details or to walk users through complex workflows. The APS MCP server consolidates these challenges into a single, standardized protocol. It abstracts away the intricacies of APS and presents a uniform interface that AI assistants can call with simple JSON payloads, ensuring consistent behavior across different APIs and environments.

What the Server Does

• Documentation Search: The tool performs keyword searches across the entire APS documentation set, returning relevant sections and links. This enables assistants to provide immediate answers or direct users to the exact API reference they need.
• Model Derivative Introspection: With , the server queries the Model Derivative API for status, metadata, and available derivatives of a given model. This allows assistants to guide users through model processing stages or troubleshoot missing outputs.
• Prompts for Guidance: Pre‑built prompts such as and give assistants ready‑made conversational flows. They help users write code snippets, understand API parameters, or design end‑to‑end workflows that involve multiple APS services.

Key Features

• MCP Compatibility: Fully conforms to the Model Context Protocol, making it plug‑and‑play with any MCP‑aware client.
• Unified API Exposure: Combines search, introspection, and guidance in a single server, reducing the number of external calls an assistant must make.
• Real‑time Data Retrieval: Fetches live documentation and model status, ensuring users receive the most current information.
• Extensibility: Built on the MCP SDK, developers can add new tools or modify existing ones without touching client code.

Use Cases & Real‑World Scenarios

• Developer Support Bots: A chatbot can instantly pull the latest API documentation for a user’s query, eliminating lookup time.
• Model Processing Pipelines: An assistant can report on the progress of a model derivative job, suggest next steps, or alert users to failures.
• Educational Tools: In training environments, the server can guide learners through step‑by‑step APS workflows, providing code examples and best practices.
• Rapid Prototyping: Engineers can prototype APS integrations by interacting with the server through their preferred AI platform, iterating quickly before committing to production code.

Integration with AI Workflows

Once configured in a client’s MCP settings, the server becomes an invisible extension of the assistant. During a conversation, the assistant can invoke to fetch documentation or call to report on a job’s status. The prompts pre‑populate context, allowing the assistant to deliver coherent, structured guidance without manual prompt engineering. This tight integration streamlines development cycles and improves the quality of AI‑driven support for Autodesk services.