How do I get my Autodesk APS Client ID and Secret?

You need to register an application at [**Autodesk Platform Services**](https://aps.autodesk.com/myapps/). Create a 'Web App' to receive your unique Client ID and Client Secret credentials.

Does my account administrator need to authorize this integration?

Yes. An Account Admin must add your Client ID under Account Admin > Settings > Custom Integrations within the Autodesk Construction Cloud dashboard for the server to access your data.

Can the AI help me find specific files or issues by name?

Yes! You can ask the agent to search through your project's folders or issue lists. It will use the `get_folder_contents` and `get_issues` tools to filter and find the exact item you need in seconds.

Autodesk Construction Cloud MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Autodesk Construction Cloud
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Autodesk Construction Cloud through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Autodesk Construction Cloud "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Autodesk Construction Cloud?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Autodesk Construction Cloud MCP Server

Connect your Autodesk Construction Cloud (ACC) environment to any AI agent and manage your construction projects through natural conversation.

Pydantic AI validates every Autodesk Construction Cloud tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Project Coordination — List and audit accessible hubs and projects across your organization
Data Exploration — Navigate complex folder structures and inspect file metadata and contents directly
Issue Tracking — Create, monitor, and update construction issues to ensure project timelines are met
Asset Management — Audit and track construction assets within your projects for better resource allocation

The Autodesk Construction Cloud MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Autodesk Construction Cloud to Pydantic AI via MCP

Follow these steps to integrate the Autodesk Construction Cloud MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Autodesk Construction Cloud with type-safe schemas

Why Use Pydantic AI with the Autodesk Construction Cloud MCP Server

Pydantic AI provides unique advantages when paired with Autodesk Construction Cloud through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Autodesk Construction Cloud integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Autodesk Construction Cloud connection logic from agent behavior for testable, maintainable code

Autodesk Construction Cloud + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Autodesk Construction Cloud MCP Server delivers measurable value.

Type-safe data pipelines: query Autodesk Construction Cloud with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Autodesk Construction Cloud tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Autodesk Construction Cloud and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Autodesk Construction Cloud responses and write comprehensive agent tests

Autodesk Construction Cloud MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Autodesk Construction Cloud to Pydantic AI via MCP:

create_issue

Create a new issue in a project

get_asset_details

Get details for a specific asset

get_issue_details

Get complete details for a specific issue

get_project_details

Get details for a specific project

list_assets

List construction assets in a project

list_folder_contents

List files and subfolders within a folder

list_hubs

List all accessible Autodesk hubs

list_issues

List issues in a specific project

list_projects

List projects in a specific hub

list_top_folders

List the top-level folders in a project

Example Prompts for Autodesk Construction Cloud in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Autodesk Construction Cloud immediately.

"List all projects in my Autodesk hub."

"Show me the open issues for project 'High-Rise Phase 1'."

"List the files in the 'Structural Designs' folder."

Troubleshooting Autodesk Construction Cloud MCP Server with Pydantic AI

Common issues when connecting Autodesk Construction Cloud to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Autodesk Construction Cloud + Pydantic AI FAQ

Common questions about integrating Autodesk Construction Cloud MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Autodesk Construction Cloud MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.