Orderry MCP for AI. Manage client, order, and inventory data in one chat.
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Orderry connects your AI agent directly to your service center's backend. It lets you track repair orders, manage client data across individuals and businesses, monitor stock levels in multiple warehouses, and create new leads or work tickets—all from a single conversation.
What your AI can do
Create lead
Records a brand-new sales lead opportunity.
Create order
Generates an official work order for service or repair.
Create client
Adds a new individual client record to the system.
Create, list, and retrieve detailed records for individual clients, organizations, and leads.
Generate new service work orders or pull specific job details to track repair progress.
List current stock levels and product availability across all connected warehouses.
Retrieve lists of staff members, organizational clients, and facility locations.
Record new sales leads when an opportunity arises in the service center.
Ask an AI about this
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Orderry MCP Server: 12 Tools for Service Ops
Use these twelve tools to let your agent handle everything from creating a new sales lead to updating complex inventory levels on an active work order.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Orderry on VinkiusCreate Lead
Records a brand-new sales lead opportunity.
Create Order
Generates an official work order for service or repair.
Create Client
Adds a new individual client record to the system.
Get Me
Retrieves the account profile information for verification purposes.
Get Order Details
Pulls all specific data points for a single, existing work order number or ID.
List Employees
Lists all current staff members working at the facility.
List Leads
List sales leads
List Orders
Lists all active or historical work orders managed by the system.
List Organizations
Retrieves a list of business clients that require services.
List Clients
Retrieves a list of individual people who have used your services.
List Inventory Stock
Provides a full list of products and their current stock count across locations.
List Warehouses
Lists all physical facility locations where stock is held.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Orderry integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Orderry, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Orderry. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 12 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Service shop operations shouldn't require jumping between 5 different tabs.
Right now, processing one job means logging into your CRM to verify the client ID. Then you switch to a separate dashboard just to check stock levels for parts. Finally, you jump into an order management system to create the ticket—and you've copied five different IDs and numbers in the process.
With Orderry MCP Server, you tell your agent: 'Create an order for Jane Doe using parts X and Y.' The agent handles the entire sequence—it checks `list_clients` first. It confirms stock via `list_inventory_stock`. And it generates the ticket with one prompt. Period.
Orderry MCP Server: Get a complete job picture, not just partial status updates.
Today, getting an order's full history is guesswork. You might check the basic ticket list (`list_orders`), but you can't easily verify if the parts needed were available at a specific location or when the original client record was last updated without multiple manual lookups.
Now, your agent runs `get_order_details` and automatically pulls in context from all related tools. You get one unified view of everything—client history, required inventory, and current status—without clicking anything.
What your AI can actually do with this
Orderry connects your AI agent directly to your service center's backend. It lets you handle everything—from initial client contact to final inventory counts—all through one conversation.
Managing Client Records and Leads
You can add new individual customers using create_client and retrieve a full list of past clients with list_clients. If your business deals with companies, you'll manage those accounts by pulling lists of organizations using list_organizations. For sales opportunities, when you find a potential customer, you record them straight away with create_lead, or review the entire database of prospects using list_leads.
Handling Work Orders and Service Jobs
When a service job starts, you generate an official work order right away with create_order. You never have to guess what's going on; you pull all specific data for any existing job by providing the ID or number through get_order_details, and you can see every active or historical job in one go using list_orders.
Tracking Physical Assets and Staff
You control your inventory across multiple locations. To check what products you've got on hand, run list_inventory_stock to get a full count of product availability everywhere. You can also see which physical spots hold stock by running list_warehouses. For staffing context, you pull the current roster of employees with list_employees.
Your agent also checks your own account profile when needed for verification using get_me.
Summary of Capabilities
- You'll get a list of all individual people who used your services by calling
list_clients. - You can record new sales opportunities and then review them with
list_leads. - Generating or pulling up service job details is done via
create_orderandget_order_details. - To see which business accounts you're servicing, use
list_organizations. - You always know where your product stock is by using
list_inventory_stock, and you can check which facility locations are involved withlist_warehouses.
019dd133-e180-723d-baf9-8754780395fb 
Here's how it actually works
The bottom line is that you talk to your agent in natural language, and the agent executes the required database actions in the background.
Grab your API Key from the Orderry dashboard under Settings > API. This key authenticates your connection.
Input those credentials into the Vinkius platform to establish the link between your AI client and Orderry's data layer.
Start chatting with your agent. You instruct it (e.g., 'Show me all open jobs for John Smith'), and it runs the necessary tools automatically.
Who is this actually for?
This is for service center owners or operations managers who are sick of jumping between a CRM, an inventory sheet, and a job tracking dashboard. It's for the person whose day involves constantly context-switching to keep orders, clients, and stock synced.
Uses the agent to summarize all open jobs assigned this week, cross-referencing required parts from list_inventory_stock before giving status updates.
Asks the agent for a client's history (list_clients) and checks if all necessary parts are available in the local warehouse using list_warehouses and list_inventory_stock.
Takes initial contact information, uses create_lead, and then converts that lead into a full work order by calling create_order.
What Changes When You Connect
You can instantly check job status by calling get_order_details. This avoids manually logging into the work order system just to see if a repair is done.
Never lose a sales opportunity. Use create_lead and then, when ready, use list_leads to track every prospect until they become a paying client via create_client.
Keep your shop running smoothly by calling list_inventory_stock. You'll know immediately if you have enough parts before promising a repair completion date.
Track both individuals and companies. The server lets you differentiate between single clients (list_clients) and corporate accounts (list_organizations) in the same workflow.
Staff management becomes simple. Use list_employees to verify who is assigned to which job, keeping your field service operations accountable.
See it in action
The client calls about a pending repair.
A customer calls asking about their MacBook Pro. Instead of checking the dashboard, you tell your agent: 'What's the status for job ID 401?' The agent runs get_order_details, sees it needs parts, checks list_inventory_stock to confirm availability, and reports back a precise timeline.
A new corporate account needs service.
The sales rep meets a potential large client. They use the agent to first call create_lead with the contact info. Once the deal closes, they immediately convert it into an official business record using list_organizations, making sure the whole history is logged.
Inventory discrepancy found during a job.
A technician realizes they are running low on a specific part. They ask the agent to check stock across all sites, triggering list_warehouses and then calling list_inventory_stock for that SKU. The system identifies which facility needs an immediate restock order.
A quick follow-up on a past customer.
You want to check if a client from last month, who had a screen repair, is still active. You run list_clients and filter by name. The agent pulls up their contact details and service history in one go.
The honest tradeoffs
Treating it like a basic CRM tool.
Only running create_client when you should be checking the entire life cycle. You create the client but forget to generate an order record, leading to lost job history.
Always chain actions: First call list_clients to verify the person exists. Then use create_order, ensuring the new work ticket is linked directly to the existing client ID.
Ignoring inventory checks when creating jobs.
Calling create_order for a complex job without checking stock first. The AI commits the order, but staff waste time realizing later they don't have parts available at any facility.
Before calling create_order, run list_inventory_stock. Use the results to confirm required part numbers are available in your targeted location via list_warehouses.
Assuming all data is connected.
Using a tool like get_order_details for an order that was processed last year, but the client ID was changed. You get stale or incomplete information because you didn't verify the client record first.
Start by calling list_clients to confirm the current status and ID of the customer before querying any specific job details using get_order_details.
When It Fits, When It Doesn't
Use this Orderry MCP Server if your core business process involves constant, multi-domain handoffs: from a sales lead becoming a client, to that client placing an order, requiring parts inventory checks, and finally completing the work order. You need one system that links CRM (Client/Lead), Inventory (list_inventory_stock), and Operations (create_order) together.
Don't use this if you only need simple task management or pure data logging. If your primary need is just managing a list of contacts without any associated job tracking, a dedicated standalone CRM might be simpler. If you only track parts but never link them to a customer order, a basic inventory system works. This server handles the entire loop.
Questions you might have
How do I use Orderry MCP Server to check if a client exists? +
You run list_clients first. This gives you the full list of individual clients, and you can filter that output by name or ID before proceeding with any other action.
Can Orderry MCP Server manage stock across multiple locations? +
Yes. The list_warehouses tool lets you see all facility IDs. Then, running list_inventory_stock allows the agent to check product counts for those specific warehouse locations.
What is the best way to create a new service job with Orderry MCP Server? +
You must use the create_order tool. For best results, include the client ID and estimate parts needed in your initial prompt so the agent can perform necessary pre-checks.
Does Orderry MCP Server track business clients or only individuals? +
It tracks both. Use list_organizations for company records, and use list_clients when dealing with single people. The agent handles the context switch for you.
If I make a new lead, how do I ensure it becomes an order? +
First, run create_lead. When the deal is closed, use that information to call create_client (if necessary) and then immediately follow up with create_order, using the gathered data.
How does Orderry MCP Server verify my account credentials using the `get_me` tool? +
It first uses the get_me tool. This confirms your active user profile and associated permissions, ensuring your agent has the rights to perform actions before running any other commands.
What is the proper way to use Orderry MCP Server to manage staff records? +
You run the list_employees tool. This retrieves a complete roster of all current staff members, including their designated roles and internal IDs for record keeping.
If I need specific component details, which Orderry MCP Server tool should I use? +
Use the get_order_details tool. This function pulls deep data on a single order ID, including required parts, assigned technicians, and estimated completion dates.
Can I check stock levels across warehouses? +
Yes, the list_inventory_stock tool provides real-time availability across all configured storage locations.
How do I create a new repair ticket? +
Use the create_order tool and provide a detailed description of the problem or task.
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