# Bringg MCP for AI Agents AI Agent Connect > Bringg MCP for AI Agents. Manage final-mile logistics, track live fleet movements, and assign drivers directly through your agent. Stop jumping between tabs to handle delivery tasks or check customer history. This Connector puts your entire dispatch operation into a single conversation. ## Overview - **Category:** erp-operations - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_lVjF4Vn5iwKRvxNRfA6V6RWb2wUvvUJ6EmS2TLBv/ai-agent-connect - **Tags:** last-mile-delivery, fleet-management, dispatch-automation, delivery-tracking, logistics-optimization, supply-chain ## Description This is the Bringg MCP. Managing a fleet usually means having twenty tabs open at once. You're constantly switching between maps, driver statuses, and customer notes just to figure out why a package is late. This Connector changes that by letting you talk to your AI agent to handle the heavy lifting. You can ask about active deliveries, see where a driver is in real-time, or update customer notes without ever leaving your chat window. Because it's part of the Vinkius catalog, you can plug it into your existing workflow and get started in minutes. Instead of manually clicking through a dashboard to find a specific order, you just ask for it. If a driver misses a status update, you can force the task to complete. It handles the boring data entry so you can focus on keeping the trucks moving. You can also pull up historical data for past recipients to answer support questions faster. It takes the friction out of dispatching by making the data work for you rather than making you work for the data. For operations teams, this means you can pull a snapshot of daily active tasks and fleet resources without digging through spreadsheets. For support reps, it means you can find a customer's previous order history in seconds. It's about removing the clicks and the constant context switching that slows down your day. You get a single point of contact for your entire logistics operation. This means fewer mistakes, faster response times, and a much clearer view of your daily operations. ## Tools ### force_task_complete The force_task_complete tool marks a delivery task as finished immediately. Use this when a driver forgets to hit the button on their mobile app. ### create_delivery_task The create_delivery_task tool adds a new order to the delivery hub. This lets you build out your daily delivery list using natural language. ### cancel_task_dispatch The cancel_task_dispatch tool removes a task from the schedule permanently. Use this to clear out orders that were canceled by the customer. ### get_task_timeline The get_task_timeline tool shows the full history and live location of a specific order. It gives you the exact geolocated status and ETA. ### list_customer_crm The list_customer_crm tool pulls up the history for any past recipient. This helps support teams see what a customer ordered previously. ### list_fleet_drivers The list_fleet_drivers tool shows every human driver in your network. Use this to check who is currently available for new tasks. ### list_active_tasks The list_active_tasks tool gets a list of all pending deliveries. This helps you see the current workload across the entire fleet. ### force_task_start The force_task_start tool tells the system a driver is en route. This updates the dashboard to show the task is officially moving. ### update_task_details The update_task_details tool changes customer notes or dropoff info on the fly. Use this to add last-minute instructions for a driver. ### assign_driver_to_task The assign_driver_to_task tool lets you manually override optimization to put a specific driver on a task. This is useful when human knowledge beats the algorithm's routing. ## Prompt Examples **Prompt:** ``` Show me the status of Task 9481. ``` **Response:** ``` Task 9481 is currently in progress. The driver is en route and the estimated arrival time is 2:15 PM. You can see the live geolocated timeline here: * **Status:** En Route * **Driver:** Sarah Connor * **ETA:** 2:15 PM Would you like me to update the customer notes? ``` **Prompt:** ``` Who is available to take a new delivery? ``` **Response:** ``` Here are the currently available drivers in your fleet: | Driver Name | Status | | :--- | :--- | | John Doe | Available | | Sarah Connor | Available | | Mike Ross | On Break | Would you like me to assign one of the available drivers to a new task? ``` **Prompt:** ``` I need to mark the last order as done because the driver's phone died. ``` **Response:** ``` I've updated the status for Task 7421 to 'Complete'. The dispatch board should now show this as successfully delivered. ``` ## Capabilities ### Manual driver assignment Override automated routing to put a specific driver on a task manually. ### Force task completion Manually mark a delivery as finished to keep the dispatch board accurate. ### Create new delivery orders Add new tasks to the delivery hub using natural language instructions. ### Live geolocated tracking Pull real-time location data and estimated arrival times for active orders. ### Fleet driver listing Retrieve a full list of human drivers and their current availability. ### Customer CRM retrieval Instantly pull historical delivery data for past customers. ### Cancel dispatch tasks Remove tasks from the schedule permanently with a single command. ### Update task details Modify customer notes or dropoff instructions on the fly. ## Use Cases ### Fixing a missed status update A driver finishes a dropoff but loses cell signal. The dispatcher asks the agent to use force_task_complete to clear the order from the active board. ### Handling last-minute instructions A customer calls with a new gate code. The support rep uses update_task_details to add the notes so the driver sees them immediately on their device. ### Emergency driver rerouting A vehicle breaks down on a route. The manager asks the agent to use assign_driver_to_task to move the load to a different driver manually. ### Morning volume snapshot An ops lead asks for a summary of the day's workload. The agent uses list_active_tasks to show all pending deliveries and current fleet status. ## Benefits - Build your daily schedule faster by using create_delivery_task to add orders via natural language. - Keep your dispatch board accurate by using force_task_complete or force_task_start to fix driver status errors. - Monitor live geolocated tracking and ETAs for any order through get_task_timeline without opening a map. - Speed up customer support by instantly pulling historical delivery data with list_customer_crm. - Override automated routing with assign_driver_to_task when you need to make a human decision on who handles a load. - Get a bird's-eye view of your entire fleet and pending volume using list_fleet_drivers and list_active_tasks. ## How It Works The bottom line is you get a voice-controlled command center for your entire delivery fleet. 1. Subscribe to the Bringg MCP on Vinkius. 2. Enter your Bringg Access Token in the configuration settings. 3. Start asking your AI client to list active tasks or assign drivers. ## Frequently Asked Questions **How does the Bringg MCP help with last-mile delivery?** It connects your delivery hub to your AI agent so you can manage tasks, drivers, and customer data using natural language. You can create orders, update notes, and track live timelines without switching apps. **Can I use the Bringg MCP to manually assign drivers?** Yes. You can tell your agent to assign a specific driver to a task, which allows you to override the standard optimization algorithms when you need to make a human decision. **Can I see live geolocated tracking with this Connector?** Yes. You can pull real-time location data and status estimates for any active order using the timeline tool. This helps you see exactly where a delivery stands at any moment. **How does the Bringg MCP handle customer data?** It allows your agent to instantly retrieve historical delivery information for past recipients. This is perfect for support teams who need to check previous order details quickly. **Can I use the Bringg MCP to fix driver status errors?** Yes. If a driver misses a step, you can use the Connector to force a task to start or complete. This keeps your dispatch board accurate and up to date. **Is the Bringg MCP good for fleet management?** It's excellent for managing active fleets. You can list all human drivers, check their availability, and see a summary of all pending tasks in one place. **Can my AI automatically reroute an assigned driver?** 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. **Can I fetch the exact live location for a specific order?** Yes! Use the `get_task_timeline` tool. Your AI agent can query a specific task ID, reading the timeline progression as well as the active geolocation coordinates. This is perfect for support agents dealing with "Where is my order?" queries who don't want to open a secondary tab. **What happens if a driver forgets to mark a task complete on their app?** You can force the status progression using your AI agent. Tools like `force_task_complete` and `force_task_start` allow you to manually push the task into its finalized state inside your chat, instantly solving tracking desyncs for your logistics operation.