3,400+ MCP servers ready to use
Vinkius

Fusion Operations MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Production Order, Get Manufacturing Site Info, Get Product Details, and more

Built by Vinkius GDPR 12 Tools Framework

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

Ask AI about this App Connector for LlamaIndex

The Fusion Operations app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Fusion Operations. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Fusion Operations?"
    )
    print(response)

asyncio.run(main())
Fusion Operations
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Fusion Operations MCP Server

Connect your Autodesk Fusion Operations (formerly Prodsmart) account to any AI agent and take full control of your manufacturing execution and shop floor workflows through natural conversation.

LlamaIndex agents combine Fusion Operations tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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

  • Production Orchestration — List and manage all manufacturing orders and retrieve detailed status and technical metadata programmatically
  • Shop Floor Visibility — Monitor workers, production records, and machine operations in real-time to maintain a high-fidelity oversight of your factory
  • Inventory & Logistics — Oversight stock levels across different storage locations and warehouses to ensure precise material management
  • Product Catalog — Access complete metadata and technical details for all items in your manufacturing database directly through your agent
  • Operational Monitoring — Check site/company information and retrieve historical production logs for instant reporting and process analysis

The Fusion Operations MCP Server exposes 12 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.

All 12 Fusion Operations tools available for LlamaIndex

When LlamaIndex connects to Fusion Operations through Vinkius, your AI agent gets direct access to every tool listed below — spanning manufacturing-execution, shop-floor-tracking, production-scheduling, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_production_order

Requires product and quantity. Create a new production order

get_manufacturing_site_info

Get current site/company details

get_product_details

Get details for a specific product

get_production_order_details

Get details for a specific production order

list_floor_machines

List production machines

list_floor_workers

List shop floor workers

list_inventory_stocks

List current inventory levels

list_manufacturing_operations

List manufacturing operations

list_manufacturing_products

List all products/items

list_production_orders

List all production orders

list_production_records

List history of production records

list_storage_locations

List storage locations

Connect Fusion Operations to LlamaIndex via MCP

Follow these steps to wire Fusion Operations into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Fusion Operations

Why Use LlamaIndex with the Fusion Operations MCP Server

LlamaIndex provides unique advantages when paired with Fusion Operations through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Fusion Operations tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Fusion Operations tool calls with transformations, filters, and re-rankers in a typed pipeline

03

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

04

Observability integrations show exactly what Fusion Operations tools were called, what data was returned, and how it influenced the final answer

Fusion Operations + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Fusion Operations MCP Server delivers measurable value.

01

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

02

Data enrichment: query Fusion Operations to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Fusion Operations for fresh data

04

Analytical workflows: chain Fusion Operations queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Fusion Operations in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Fusion Operations immediately.

01

"List all active production orders in Fusion Operations."

02

"What is the current stock level for 'Gasket Kit'?"

03

"Show me the production records from today."

Troubleshooting Fusion Operations MCP Server with LlamaIndex

Common issues when connecting Fusion Operations to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Fusion Operations + LlamaIndex FAQ

Common questions about integrating Fusion Operations MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Fusion Operations tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.