MCP For Claude Marketplace
Bringg

Bringg MCP Connector for Claude

F

Automate final-mile logistics via Bringg — manage delivery tasks, track fleets, and assign drivers directly from your AI agent.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Bringg account to any AI agent and take full control of your final-mile delivery and dispatch operations through natural conversation.

What you can do

  • Delivery Tasks — Create, update, list, and cancel delivery tasks dynamically before the truck leaves your hub
  • Fleet Dispatch — Manually assign specific drivers to tasks, bypassing default optimization algorithms
  • Live Timelines — Pull real-time geolocated tracking data and status estimates for any active order
  • Force Progression — Manually trigger task start or completion states to keep the dispatch board accurate
  • Driver CRM — List all human drivers across the fleet, track their availability, and analyze active limits
  • Customer Database — Instantly retrieve historical data for past delivery recipients

How it works

  1. Subscribe to this server
  2. Enter your Bringg Access Token
  3. Start dispatching directly from Claude, Cursor, or any MCP-compatible client

No more jumping between dispatch dashboards. Your AI agent handles the logistics routing.

Who is this for?

  • Dispatch managers — reroute drivers, force task states, and check live delivery timelines on the fly
  • Support reps — instantly check order status and customer history to answer tickets without leaving the CRM
  • Operations teams — build complex end-of-day delivery analyses and track fleet efficiency
  • Founders & executives — pull an immediate snapshot of daily active tasks and active fleet resources
last-mile-deliveryfleet-managementdispatch-automationdelivery-trackinglogistics-optimizationsupply-chain

10 tools expose this connector's capabilities to your AI agent.

assign_driver_to_task

Manually override optimization and assign a specific driver to a task

force_task_complete

Force a delivery task status to COMPLETE (successfully delivered)

create_delivery_task

Create a new delivery task (order) in the Bringg Delivery Hub

cancel_task_dispatch

Cancel and permanently remove a delivery task from the dispatch schedule

get_task_timeline

Retrieve comprehensive details and live timeline for a specific task

list_customer_crm

List historical delivery recipients (customers) registered in Bringg

list_fleet_drivers

List all human drivers (users) within the Bringg fleet network

list_active_tasks

` mapping the SaaS dashboard directly isolating pending deliveries. Retrieve a paginated list of active delivery tasks/orders

force_task_start

Force a delivery task status to START (driver en route)

update_task_details

Modify existing delivery task details such as customer notes or dropoff info

See how to talk to your AI agent using Bringg.

Show me the top 3 most recent active deliveries in the hub.

Here are 3 active delivery tasks: 1. (Task ID: 9481...) Delivery to 123 Main St — Status: AT THE PICKUP LOCATION. Driver: John Doe. 2. (Task ID: 7421...) Delivery to 456 Grove St — Status: CREATED. Unassigned. 3. (Task ID: 3109...) Delivery to 789 Pine Ave — Status: ON THE WAY. Driver: Sarah Connor. Would you like me to manually assign a driver to the second task?

Where is the order for Task ID 3109 and what's its exact timeline?

Pulling timeline for Task 3109… The driver, Sarah Connor, hit 'Start' 15 minutes ago. Current geotracking shows longitude: -74.006, latitude: 40.712. The estimated time of arrival (ETA) is 14:32. Would you like me to add a quick customer note to the order before she arrives?

Force mark task 9481 as complete, the driver forgot to do it.

Done. I've sent a mutation to `force_task_complete` for Task 9481. The driver's workflow is manually closed, and the dispatch dashboard should now show this order as successfully finished.

Yes. If an urgent delivery arises or a driver is delayed, you can prompt your agent to find another available fleet driver and assign them to the task. It bypasses the engine's built-in optimization logic and enforces the manual assignment on the Bringg dashboard globally.

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