Bringg MCP. Control your entire dispatch board from chat.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Bringg manages end-to-end, last-mile logistics directly from your AI agent. You can create new delivery orders, assign specific drivers to tasks, track live vehicle locations, or manually change an order's status—all through natural conversation without leaving your chat window.
What your AI agents can do
Assign driver to task
Manually override the routing system to assign a specific driver to an order.
Cancel task dispatch
Permanently remove and cancel a delivery task from the current dispatch schedule.
Create delivery task
Generate a brand new delivery order within the Bringg Delivery Hub.
You can generate new orders or change details like customer notes on existing deliveries.
Manually override automatic routing and assign a known driver to a specific task.
Retrieve current geographic coordinates, status estimates, and full timelines for any active delivery.
Force an order to 'started' or 'complete,' correcting the dispatch board when automation fails.
Get a list of all registered human drivers, checking their availability and active status limits.
Instantly pull historical data for any recipient who has received a delivery before.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Bringg MCP: 10 Tools for Fleet Management
These tools give you granular control over every stage of delivery—from creating a new order to updating driver status and checking customer history.
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 Bringg on Vinkius019d7563assign driver to task
Manually override the routing system to assign a specific driver to an order.
019d7563cancel task dispatch
Permanently remove and cancel a delivery task from the current dispatch schedule.
019d7563create delivery task
Generate a brand new delivery order within the Bringg Delivery Hub.
019d7563force task complete
Manually change an order's status to completed, regardless of what happened in the field.
019d7563force task start
Manually trigger a task's status to 'en route,' indicating the driver has started work.
019d7563get task timeline
Retrieve detailed, live tracking data and estimated arrival times for any specific order.
019d7563list active tasks
Get a paginated list of all delivery tasks that are currently pending completion or assignment.
019d7563list customer crm
List the historical records for every customer who has received a delivery through Bringg.
019d7563list fleet drivers
Retrieve a list of all human drivers registered in your fleet network and check their availability.
019d7563update task details
Modify specific delivery task information, such as updating customer notes or change drop-off points.
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 Bringg, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ 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 Bringg. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The current way requires constant dashboard switching.
Right now, managing a fleet is a nightmare of tabs. You start in the dispatch dashboard to see active tasks, then you jump to the customer portal to check history, and finally, you have to open the driver roster just to verify who is available. It's copy-pasting status updates and jumping through three different interfaces for one simple update.
With this MCP, your agent handles the whole sequence. You talk about a task—saying 'Check order 7421’—and it pulls data from the timeline, checks customer notes, and gives you all that information in plain text. It's a single conversation doing three jobs.
Using `list_active_tasks` gets you immediate visibility.
Before this MCP, checking the status of deliveries meant navigating to the 'Active Tasks' section and manually scrolling through potentially hundreds of entries to find what was pending. This is slow, and crucial details get missed in the clutter.
Now, you just ask for it. The agent runs `list_active_tasks` and gives you a clean, paginated list of exactly what's happening right now. That simple request saves time and ensures nothing falls through the cracks.
What you can do with this MCP connector
This MCP puts the whole dispatch board right into your conversations. Instead of jumping between different tabs and dashboards just to update a driver’s status or check an address, your agent handles it all. You can create entirely new delivery tasks, check customer history for past recipients, pull real-time location data on active orders, and even assign a specific person to a job if the system's default routing fails.
The platform allows you to manage complex logistics processes—from listing every available driver to updating notes on an existing order. When your agent executes these changes, Vinkius AI Analytics tracks exactly which action took place, what data was involved, and how much of your budget it consumed. You always know who did what, when they did it, and why.
It’s total control over the physical movement of goods, handled through conversational commands.
019d7563-c38d-7157-ba8e-ef37404fcbda 
How Bringg MCP Works
- 1 First, subscribe to this MCP and input your Bringg Access Token.
- 2 Next, connect the service through your preferred AI client (Claude, Cursor, etc.).
- 3 Then, start talking to your agent. You can ask it to 'Show me all active orders in the next hour' or 'Force task 456 as complete,' and it executes the command directly.
The bottom line is you talk to your agent like a dispatcher talks to a coworker, and the MCP runs the commands on the Bringg platform instantly.
Who Is Bringg MCP For?
Operations managers who are sick of switching between dashboards. This tool is for dispatchers and support staff who need real-time control over fleet movements without logging into a separate web portal.
Needs to reroute drivers, manually assign tasks, or force task states when the automated system fails mid-day.
Must instantly check a customer's past delivery record and current order status while handling a support ticket.
Runs end-of-day reports on fleet efficiency, checking live timelines for complex logistical analyses.
What Changes When You Connect
- Stop wasting time jumping between tabs. You can instantly check a customer’s history using
list_customer_crmand update notes usingupdate_task_details, all in one conversation. - When the automated routing fails, you don't have to wait for manual intervention. Use
assign_driver_to_taskto bypass algorithms and put a specific driver on the job immediately. - Never lose visibility into your fleet again. You can pull live geolocated data using
get_task_timeline, giving you an immediate snapshot of where every truck is right now. - Need to clean up old tasks? Use
cancel_task_dispatchto permanently remove a failed job from the schedule, or useforce_task_completeif the driver just forgot to check it off. - Build complex workflows by chaining multiple MCPs. For example, you can first call
list_active_tasks, then pass the results to an invoicing MCP to generate charges for the day's work.
Real-World Use Cases
The unexpected cancellation
A customer calls and cancels their order. Instead of logging into Bringg, you ask your agent to cancel it immediately using cancel_task_dispatch. The task is gone from the active queue, and no one gets confused by its status.
The driver needs help
A support rep asks for a delivery's current location. Your agent uses get_task_timeline to pull the live coordinates and ETA, letting you tell the customer exactly when they can expect the package.
The day’s workload needs adjusting
The morning dispatcher wants to see what's pending. Asking for a list of active tasks using list_active_tasks gives an immediate, paginated snapshot without opening any dashboards.
Correcting the record books
A task was completed but never marked as done in the system. By invoking force_task_complete, you manually close out the order, keeping your dispatch board accurate for end-of-day reporting.
The Tradeoffs
Manual status updates
The dispatcher has to click into 15 different tasks, change the status dropdown from 'in progress' to 'complete', and hit save on every single one.
→
Use force_task_complete via your agent. This command handles the entire workflow for all necessary tasks in a single call, saving minutes of repetitive clicking.
Checking driver names manually
The manager has to go to the main roster page and filter through hundreds of users just to see who is currently clocked in.
→
Just ask your agent to list all drivers using list_fleet_drivers. It pulls the filtered, relevant data instantly.
Over-relying on default routing
The system automatically assigns Driver A to a task, but you know Driver B is closer and better equipped. You waste time arguing with the algorithm.
→
Use assign_driver_to_task. This tool lets you override the system's guess and assign the job directly to the best person.
When It Fits, When It Doesn't
Use this MCP if your core problem is managing the state of physical delivery tasks. You need to know: Where is it? What status is it in? Who has it? If you're constantly moving data between a CRM, a ticketing system, and a dispatch dashboard—and you want them all connected through one conversational point—this is your tool. Don't use this if you are primarily focused on financial reporting or payroll; for that, you'd need a dedicated billing MCP. Also, don't rely on this to manage the core customer database; use list_customer_crm only for historical lookups.
Common Questions About Bringg MCP
How do I use the `get_task_timeline` tool? +
You simply tell your agent which task ID you need to track. The MCP pulls real-time geographic data and status estimates, letting you know exactly where the driver is right now.
Can I use `assign_driver_to_task` if the job was automatically assigned? +
Yes. This tool allows you to override the system's default assignment logic. You call it and specify both the task ID and the specific driver name, forcing the change.
What is the difference between `list_active_tasks` and `get_task_timeline`? +
list_active_tasks gives you a list of many pending jobs. get_task_timeline, however, drills down to one specific job to give you its full history and real-time location.
Does the Bringg MCP help with customer payments? +
No. This MCP is strictly for logistics and dispatching tasks. If you need billing or payment processing, you'll need a dedicated financial MCP connected to your agent instead.
When I use the `list_fleet_drivers` tool, how are my credentials handled? +
Your connection uses a zero-trust proxy, meaning your keys pass through for data transfer but are never stored on disk. This design keeps your access tokens secure and prevents credential leakage from your system.
If I need to change notes or dropoff info after a task was created using `create_delivery_task`, how do I update it? +
You pass the existing Task ID along with the specific details you want to modify. This function overwrites old information only for the fields you provide, leaving all other parts of the task data intact.
Is using `cancel_task_dispatch` permanent? Will the delivery record still be available? +
Yes, canceling a task permanently removes it from the active dispatch schedule. The job status archives the details but prevents the task from appearing in live timelines or future routing calculations.
When I use `list_active_tasks`, can I filter the results by driver or date range? +
You pass specific filters to narrow down the list. You can refine the search using criteria like status, assigned driver ID, or a custom date range for better operational visibility.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.