Upper Route Planner MCP for AI. Manage every stop and driver assignment via conversation.
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…and any MCP-compatible client
Connect to your AI in seconds.
Upper Route Planner connects your AI agent directly to advanced delivery logistics data. It lets you check driver statuses, list complete routes, and create new tasks just by talking to it.
You get full control over fleet coordination without leaving your chat window.
What your AI can do
Create upper delivery task
Generates a new delivery task record, including customer details and time constraints.
List upper drivers
Lists all currently assigned and available drivers in your fleet.
Get upper route stop
Retrieves basic status information for a single route stop ID.
Retrieves a list of active delivery routes and their basic status details.
Verifies your connection to Upper Route Planner, ensuring your data feed is live and accurate.
Pulls all detailed information for a specific delivery stop, including completion proofs and timing data.
Generates a brand-new delivery task record with customer details and time windows, adding it directly to the system queue.
Retrieves a directory of active drivers, allowing you to check resource availability for scheduling.
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Upper Route Planner: 6 Tools for Logistics Management
Use these tools to check system health, list drivers and routes, get stop details, or instantly create new delivery tasks.
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 Upper Route Planner on VinkiusCreate Upper Delivery Task
Generates a new delivery task record, including customer details and time constraints.
List Upper Drivers
Lists all currently assigned and available drivers in your fleet.
Get Upper Route Stop
Retrieves basic status information for a single route stop ID.
List Upper Routes
Retrieves a list of all active delivery routes scheduled for the day.
Get Upper Stop Details
Fetches all detailed metadata for one specific delivery stop.
Check Upper Status
Verifies the live API connection status of your Upper account.
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 Upper Route Planner 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 Upper Route Planner, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ 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 Upper Route Planner. 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 6 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Tracking field progress shouldn't require hopping between three different dashboards.
Right now, if a package gets delayed or needs a manual update, you open the main dispatch dashboard. You see a red flag on the route, but that only tells you *where* it's bad. Then you click over to the driver roster to check their status—that’s one tab. Finally, you open the task management system just to confirm if a new delivery was logged—that's another set of logins and copy-pasting.
With this MCP server, your agent handles that sequence automatically. You tell it: 'Check status for route 123.' The agent runs `list_upper_routes`, pulls the stop info using `get_upper_stop_details`, and confirms the whole thing—all in one response. It's instant context.
Upper Route Planner MCP Server: Control your delivery flow with conversation.
The biggest time sink is the 'follow-up task.' You find a route gap and have to manually create the job in the system. This means logging into the dedicated planning module, filling out forms, and hitting send just so the driver knows about it.
Now, you simply ask your agent: 'Add a new delivery task for 45 Main Street.' The agent runs `create_upper_delivery_task` and provisions that record immediately. It’s done in plain English conversation.
What your AI can actually do with this
You connect this MCP Server to your AI client and forget about manually checking dashboards or digging through a bunch of tabs just to run deliveries. Your agent handles the whole route coordination process just from natural conversation. You get full control over the fleet without leaving your chat window.
Checking the System Status and Planning Routes
You need to know if this thing is even running right? Call check_upper_status and it immediately verifies your live API connection status for Upper, so you never waste time dealing with bad data feeds. To get a full picture of the day's hustle, use list_upper_routes. That tool spits out every active delivery route scheduled for the day, giving you the basic status details on all those routes at once.
Managing Your Crew and Stops
Want to see who’s available? Running list_upper_drivers pulls a directory of your field team. You check resource availability instantly—you know exactly which drivers are assigned or free. If you need to drill down on specific stops, you've got two options: use get_upper_route_stop for the basic status information of a single stop ID, or if you need the whole nine yards, run get_upper_stop_details.
That fetches all the detailed metadata for one spot, including timing data and proof of completion. These tools let you track down everything from basic progress checks to deep-dive reports on every corner.
Making Changes on the Fly
Got a last-minute job? You don't wait for paperwork. Use create_upper_delivery_task to generate a brand-new delivery task record right away, letting you specify customer details and tight time windows instantly. This adds it straight into the system queue, getting it moving immediately.
Your agent acts like a dedicated logistics coordinator who never takes a coffee break. It runs all these necessary checks—verifying connection health, listing every available driver, pulling full route manifests, fetching specific stop metadata, and even creating new tasks—all through simple natural language commands. You just talk to it, and the data gets handled.
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Here's how it actually works
The bottom line is: You give your AI client access credentials, and then you just talk to it like talking to a real dispatcher.
First, subscribe to the Upper Route Planner server and pull your unique API Token from your Upper dashboard settings.
Next, connect this token to your preferred AI client (Claude, Cursor, etc.) so your agent can access the tools. Your agent needs permission to run these specific logistics functions.
Finally, ask your agent a question—like 'Show me all routes for tomorrow' or 'Create a task for 123 Oak St.' The agent runs the appropriate tool and gives you the result.
Who is this actually for?
Logistics managers and operations leads who are tired of juggling multiple dashboards, manually checking status updates, or having to copy-paste delivery details. You're the person who needs a single pane of glass view into complex field operations without logging into another system.
Needs to quickly assess resource availability by using list_upper_drivers and coordinating assignments across multiple routes listed with list_upper_routes.
Uses the server to verify operational health via check_upper_status before running large-scale scheduling updates or when a major system change occurs.
Handles urgent changes by using create_upper_delivery_task, ensuring new jobs get recorded instantly with the right time windows.
What Changes When You Connect
Stop guessing if your system is working. Use check_upper_status to confirm API connectivity instantly, so you never waste time chasing down a failed data feed.
Need to assign an emergency delivery? Instead of logging into the web portal, just ask your agent to run create_upper_delivery_task. It provisions the job with precise details immediately.
Track field progress in real-time. By calling get_upper_stop_details, you pull comprehensive metadata for any single stop—proof of delivery, timing, everything—without opening a single browser tab.
See who's available to take the next run. The list_upper_drivers tool gives you an up-to-date roster of your field workforce, letting you allocate tasks efficiently.
Get a complete overview of today's work schedule by running list_upper_routes. This shows all planned routes at once, giving you immediate oversight of the entire day’s workload.
See it in action
Handling an unexpected stop
A customer calls with a last-minute request. You don't want to wait for someone to manually update the system. Instead, you ask your agent: 'Create a new delivery task for 45 Main St.' The agent uses create_upper_delivery_task and gets the record live instantly. Problem solved.
Checking driver capacity
It's Monday morning, and you need to see who can take on extra jobs. You ask your agent: 'List all available drivers.' The agent runs list_upper_drivers so you know exactly which personnel are ready for assignment.
Investigating a delayed delivery
A package is marked late. Instead of calling three different departments, you ask the agent to check its status: 'What are the details for stop_XYZ?' The agent runs get_upper_stop_details and immediately tells you if it's stuck on a specific point or if the timing was off.
Forecasting daily routes
The Ops team needs to plan for next week. You ask your agent: 'List all scheduled routes for Friday.' The agent uses list_upper_routes and gives you a full, organized list of planned assignments right now.
The honest tradeoffs
Trying to check everything manually
You open the dashboard for routes, then switch tabs to see driver assignments, and finally use another portal just to verify API status. This takes 15 minutes and requires three different logins.
Keep it in your chat client. First, ask check_upper_status to confirm connectivity. Then, run 'List all active routes' using list_upper_routes, followed by querying specific details with get_upper_stop_details. It’s faster and keeps everything centralized.
Forgetting the current day's context
You write a massive prompt detailing 50 stops, assuming all of them are ready to be created. But you forget that some tasks might already exist or need specific time window validation.
First, always use list_upper_routes to see what's already scheduled for the day. Then, only ask your agent to run create_upper_delivery_task for genuinely new assignments.
Over-relying on simple listings
You just list drivers (list_upper_drivers) and assume they are available. But you don't know if their route is already overloaded or if the system flagged them as unavailable.
Don't rely on lists alone. After running list_upper_drivers, cross-reference those names by asking for specific routes using list_upper_routes to verify capacity against current assignments.
When It Fits, When It Doesn't
Use this server if your core pain point is the coordination of complex, multi-step logistics processes involving multiple data points (e.g., 'Is Driver X available and does his route have a stop in Sector Y?'). It excels at sequencing checks: checking status $\rightarrow$ listing routes $\rightarrow$ getting specific details $\rightarrow$ creating follow-up tasks.
Don't use it if you only need simple data points, like just tracking inventory levels (you'd need an inventory tool) or calculating theoretical optimal paths without considering real driver capacity. This tool is for operational execution and status checking against existing assets, not pure planning modeling.
Questions you might have
How do I check if the Upper Route Planner API connection is working? +
You use check_upper_status. This tool verifies your live API connection, letting you know immediately if there’s a technical issue with your data feed.
Can I add an emergency delivery task using create_upper_delivery_task? +
Yes. You ask the agent to run create_upper_delivery_task and provide the necessary customer details. It provisions a new, live job record with precise time windows.
What is get_upper_stop_details used for? +
Use get_upper_stop_details when you need to know everything about one specific stop—like the recorded proof of delivery or exact timing metadata. It gives deep context on a single point.
How do I see all the drivers available for scheduling? +
You run list_upper_drivers. This tool provides an up-to-date roster of your field workforce, which is crucial for making sure you don't overassign anyone.
If I use list_upper_routes, what do I do if there are no scheduled routes for today? +
The system returns an empty list or a specific 'no records found' message. You should always check the returned data set size before attempting to process route metadata. This prevents errors when iterating over expected results.
When I use get_upper_stop_details, how do I handle large batches of stop IDs? +
The tool is designed for fetching details on single stops; don't try to pass hundreds of IDs at once. For bulk data retrieval, you must implement a pagination loop or process the required stops in smaller, manageable chunks to avoid rate limits.
What filtering criteria do I need when calling get_upper_route_stop? +
You have to pass specific parameters like stop ID and date range directly into the function call. The tool won't guess; it requires structured inputs (e.g., 'stopId=XYZ&date=2024-MM-DD') for accurate results.
What mandatory fields must I include when using create_upper_delivery_task? +
You absolutely need the recipient address, a time window, and a valid customer contact. If any of these core data points are missing or malformed, the task creation will fail immediately.
How do I find my Upper API Token? +
Log in to your account, navigate to Settings > Web Service API, and copy your unique high-fidelity API Token.
Can I check specific stop details via AI? +
Yes! The get_upper_stop_details tool allows your agent to retrieve high-fidelity metadata including service time, customer contact, and delivery notes.
How do I list my optimized routes? +
Use the list_upper_routes tool to retrieve the complete high-fidelity directory of routes along with their assigned drivers and status.
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