How to Use the Autodesk Construction Cloud MCP in Pydantic AI

Run type-safe Autodesk Construction Cloud operations using Pydantic AI and our validated MCP Server.

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Connect Autodesk Construction Cloud MCP to Pydantic AI

Create your Vinkius account to connect Autodesk Construction Cloud to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Autodesk Construction Cloud with Pydantic AI

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Strict validation of MCP Server issues

The Autodesk Construction Cloud MCP Server integrates with Pydantic AI to guarantee that every ticket conforms to your strict Python schemas. When your agent calls `get_issue_details` or `list_issues`, the framework validates the response fields at runtime. If the API returns unexpected null fields or undocumented status codes, the toolset raises a validation error immediately. This prevents corrupted data from entering your local databases or causing silent failures downstream.

Type-safe asset and project inspection

Your Pydantic AI agent queries physical site equipment using `list_assets` and `get_asset_details`. Every asset property, from serial numbers to location tags, is validated against your Pydantic models before your code processes them. The same strict validation applies to project discovery. When the agent uses `list_projects` or `get_project_details`, you can be certain the project metadata matches your exact typing constraints, eliminating hallucinated fields.

Validated issue creation and file checks

When creating new site records, your agent uses `create_issue` with strictly typed arguments. The Pydantic AI framework validates the input payload locally before sending the request to the server, preventing API rejection errors. For document tracking, the agent calls `list_top_folders` and `list_folder_contents`. The returned file paths and folder IDs are parsed into clean Python objects, giving you a type-safe interface for construction file management.

Setup guide

Set up Autodesk Construction Cloud MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "autodesk-construction-cloud-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Autodesk Construction Cloud tools.",
)

result = await agent.run("List recent Autodesk Construction Cloud transactions")
print(result.output)

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Common questions about Autodesk Construction Cloud MCP in Pydantic AI

The framework wraps the server tools in a unified toolset. When tools like `get_issue_details` return data, the framework parses the JSON against Pydantic models, raising errors if the structure is invalid.

Yes. Because the framework is model-agnostic, you can connect the server toolset to local models or commercial APIs while maintaining strict schema validation for tools like `list_projects`.

The agent fails loudly with a validation error. This prevents the agent from processing bad data, ensuring your local databases only receive clean, verified construction records.

Set up the server using the HTTP toolset class pointing to your Vinkius endpoint. Pass this toolset directly to your Agent constructor to expose tools like `list_assets` to your model.

Vinkius acts as a secure, zero-trust gateway. Your Autodesk API keys are stored safely on Vinkius, and all tool execution occurs within isolated V8 sandboxes that do not persist your construction project data.

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