Bring Manufacturing Execution
to CrewAI
Learn how to connect Fusion Operations to CrewAI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your API Key and Secret from Fusion Operations (Profile > Request an API key)
3. Start managing your factory operations from Claude, Cursor, or any MCP client
No more manual status checking or digging through manufacturing tables. Your AI acts as your dedicated production and operations coordinator.
Who is this for?
- Production Managers — instantly retrieve order statuses and monitor site-wide output using natural language commands
- Operations Leads — track real-time inventory levels and machine performance without leaving your workspace
- Manufacturing Engineers — automate the extraction of production records and technical specifications for analysis
Built-in capabilities (12)
Requires product and quantity. Create a new production order
Get current site/company details
Get details for a specific product
Get details for a specific production order
List production machines
List shop floor workers
List current inventory levels
List manufacturing operations
List all products/items
List all production orders
List history of production records
List storage locations
Why CrewAI?
When paired with CrewAI, Fusion Operations becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Fusion Operations tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Fusion Operations in CrewAI
Fusion Operations and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Fusion Operations to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Fusion Operations in CrewAI
The Fusion Operations 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Fusion Operations for CrewAI
Every tool call from CrewAI to the Fusion Operations MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my API Key and Secret?
Log in to Fusion Operations as an Admin, click on your profile name, and select Request an API key. You will receive your credentials via email.
Can I check stock levels in a specific warehouse?
Yes! Use the list_inventory_stocks tool. You can also use list_storage_locations first to identify the correct warehouse ID.
Does the integration support tracking individual floor workers?
The list_floor_workers tool allows you to retrieve a directory of all registered personnel and their current status in the system.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.