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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Autodesk Construction Cloud
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Autodesk Construction Cloud as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Autodesk Construction Cloud. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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* 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.

LlamaIndex agents combine Autodesk Construction Cloud tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the Autodesk Construction Cloud MCP Server

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

Data-first architecture: LlamaIndex agents combine Autodesk Construction Cloud tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Autodesk Construction Cloud tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Autodesk Construction Cloud, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Autodesk Construction Cloud tools were called, what data was returned, and how it influenced the final answer

Autodesk Construction Cloud + LlamaIndex Use Cases

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

Hybrid search: combine Autodesk Construction Cloud real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Autodesk Construction Cloud to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Autodesk Construction Cloud for fresh data

Analytical workflows: chain Autodesk Construction Cloud queries with LlamaIndex's data connectors to build multi-source analytical reports

Autodesk Construction Cloud MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Autodesk Construction Cloud to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Autodesk Construction Cloud + LlamaIndex FAQ

Common questions about integrating Autodesk Construction Cloud MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Autodesk Construction Cloud tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.