Route4me
Route4Me provides a Last Mile Routing API offering automated solutions for route planning and optimization, tailored for logistics-intensive businesses.
Verdict
Common use cases
- Mark delivery stops complete from chat
- Check vehicle availability before dispatch
- Flag failed deliveries during debrief
- Audit route progress at shift handoff
- Verify truck capacity before adding stops
Integration
- Vendor
- Route4me
- Category
- productivity
- Auth
- API_KEY
- Tools
- 2
- Composio slug
route4me
Tools
- Get Vehicles
Tool to retrieve details of vehicles in the organization. use when you need the full list of vehicles before planning routes or auditing vehicle capacities.
- Set Destination Status
Tool to set or update the status of one or more route destinations. use after confirming deliveries to mark stops as skipped, completed, or failed.
Setup
Setup guide
- 11. In Switchy, open Settings → Integrations → MCP Servers and click Add Server. 2. Select Route4me from the catalog. 3. You'll need a Route4me API key—log into your Route4me account, navigate to Settings → API, and generate a new key with read/write permissions for vehicles and routes. 4. Paste the API key into Switchy's connection form and click Connect. 5. Switchy will verify the key by fetching your vehicle list; if it succeeds, the MCP appears in your server list. 6. Open any Space, type '@Route4me list all vehicles' and send—if you see vehicle details in the response, the connection works. 7. To update a destination, you'll need the route ID and destination ID from Route4me; the MCP accepts those as parameters when you @mention it with a status change request.
What teammates see: by default, memories from Route4me are scoped to the Space (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.
Works well with
Top models
Compatibility data appears once enough Spaces have used this MCP together with a given model.
How Switchy teams use it
Starter prompts
List All Vehicles
@Route4me retrieve the complete list of vehicles in our organization, including vehicle IDs and any capacity details you can find.Open in a Space →
Mark Stop Completed
@Route4me set the status of destination ID 12345 on route ID 67890 to completed, confirming the delivery just finished.Open in a Space →
Flag Failed Delivery
@Route4me update destination ID 23456 on route ID 78901 to failed status because the customer wasn't available.Open in a Space →
Skip Cancelled Stop
@Route4me change destination ID 34567 on route ID 89012 to skipped status since the order was cancelled this morning.Open in a Space →
Audit Vehicle Roster
@Route4me show me all vehicles we have on file, so I can verify our fleet roster matches what's actually in service.Open in a Space →
Example outputs
Illustrative - representative of the model's voice and quality, not literal recordings.
@Route4me show me all vehicles in our fleet with their current capacity and license plate info
Route4me returned 12 vehicles from your organization. Here's a summary: 5 cargo vans (avg capacity 800 lbs), 4 box trucks (avg capacity 2,500 lbs), and 3 sedans (avg capacity 300 lbs). Each entry includes license plate, VIN, and last maintenance date. Vehicle IDs range from VEH-1001 to VEH-1012. This illustrative example shows the kind of fleet overview you'd see — actual data reflects your Route4me account state.
Requires a valid API key with read access to vehicle records. Useful before route planning sessions to confirm which vehicles are available and their load constraints. The tool returns raw vehicle metadata; you'll need to cross-reference route assignments separately if checking current deployment.
@Route4me mark stops 3, 7, and 9 on route RT-5024 as completed since the driver just confirmed all three deliveries
Route4me updated 3 destinations on route RT-5024. Stop 3 (123 Main St) set to 'completed' at 14:32. Stop 7 (456 Oak Ave) set to 'completed' at 15:18. Stop 9 (789 Elm Blvd) set to 'completed' at 16:05. Timestamps reflect server receipt time. This illustrative example shows the confirmation you'd receive — actual status changes depend on route existence and stop IDs in your account.
This is a write operation that immediately updates route status in Route4me. Ensure stop IDs are correct before running; incorrect IDs may fail silently or update the wrong destinations. Useful for syncing driver confirmations from Slack or email into your routing system without manual data entry.
@Route4me pull today's vehicle list and draft a capacity report showing which trucks are underutilized for tomorrow's 18-stop route
Based on Route4me's vehicle data, here's a capacity analysis: Your 4 box trucks (2,500 lbs each) total 10,000 lbs capacity. Tomorrow's 18 stops require an estimated 6,200 lbs of cargo. This means you're using 62% of available truck capacity. Recommendation: consolidate into 3 box trucks to free up one vehicle for maintenance or alternate routes. Vehicles VEH-1005 and VEH-1008 have the lowest recent utilization. This illustrative synthesis combines fleet data with route planning logic.
Demonstrates pairing Route4me's vehicle inventory with AI reasoning to optimize fleet usage. The MCP provides raw vehicle specs; the AI calculates utilization gaps. Accuracy depends on your cargo weight estimates and route complexity — always validate recommendations against real-world constraints like delivery windows or driver availability.
Use-case deep-dives
When Route4me fits field ops teams under 20 vehicles
A 6-person landscaping company runs 4 trucks doing residential maintenance stops. The office manager builds routes in Route4me's web app each morning, then drivers update stop statuses from their phones as they finish jobs. This MCP works because the team already uses Route4me and needs Switchy to pull vehicle lists for capacity planning or bulk-update statuses when weather cancels a route. The two-tool scope is narrow: you can read the vehicle roster and mark stops complete or skipped. You cannot create routes, optimize sequences, or pull historical analytics through this MCP. If your workflow is 'check yesterday's completion rate' or 'reassign stops when a truck breaks down', you'll hit the API limit fast. Route4me's MCP is a status-update shortcut, not a route-planning interface. Best fit: small fleets where drivers handle updates in the Route4me app and the back-office just needs occasional bulk edits or vehicle audits in Switchy.
Why Route4me's MCP doesn't solve support dispatch
A 12-person SaaS company wants to route customer support tickets to agents based on geography and workload, thinking Route4me's delivery logic might apply. It doesn't. Route4me is built for physical stops with GPS coordinates and vehicle constraints, not for ticket assignment or agent availability. The MCP's two tools—Get Vehicles and Set Destination Status—assume you're managing trucks and delivery addresses, not support queues. Even if you tried to map agents to 'vehicles' and tickets to 'destinations', you'd have no way to create routes, calculate drive times, or handle the real-time reassignment that support needs. Route4me's strength is optimizing multi-stop driving routes for field teams. If your problem is 'which agent takes the next ticket', you need a helpdesk or workforce management tool, not a logistics MCP. Skip this integration unless your team is literally dispatching people to physical locations.
When bulk status updates justify the Route4me MCP
A 15-person meal-kit delivery service runs 8 vans covering 200 stops per day. Drivers mark deliveries complete in the Route4me mobile app, but the ops team needs to bulk-update statuses when customers report non-delivery or when a van breaks down mid-route. This is the MCP's sweet spot: the Set Destination Status tool lets the ops manager select 30 undelivered stops and mark them 'failed' or 'rescheduled' in one Switchy command, instead of clicking through Route4me's web UI. The Get Vehicles tool confirms which vans are active before reassigning stops. The trade-off: you still plan routes in Route4me's native app, and you can't pull delivery history or run reports through the MCP. If your workflow is 'fix today's exceptions fast', this integration saves 20 minutes per incident. If you need analytics or route optimization, you're working in Route4me directly. Best for teams doing 50+ stops daily where manual status cleanup is a daily chore.
Frequently asked
What does the Route4me MCP do in Switchy?
It lets your AI assistant read your vehicle list and update delivery statuses in Route4me. You can ask the AI to check which trucks are available before planning a route, or mark stops as completed, skipped, or failed after a driver confirms a delivery. It doesn't create new routes or optimise them — just reads vehicle data and writes status updates.
Do I need admin access to connect Route4me?
You need an API key from Route4me, which typically requires account owner or admin permissions to generate. The key grants full read/write access to vehicles and route statuses, so treat it like a password. If your Route4me admin won't share the key, you can't connect this MCP.
Can the Route4me MCP create or optimise routes?
No. It only reads your vehicle list and updates destination statuses. If you need to build routes, add stops, or run optimisation, you'll still do that in Route4me's web app or mobile app. This MCP is for post-dispatch workflows — checking capacity and logging delivery outcomes.
Why use this instead of Route4me's mobile app?
The mobile app is better for drivers in the field. This MCP is for back-office staff who want to update statuses in bulk or cross-reference vehicle data with other tools in Switchy. If you're just marking one stop done, use the app. If you're reconciling twenty failed deliveries against a spreadsheet, use the MCP.
Who on the team should connect the Route4me MCP?
Whoever manages dispatch or logistics and already has Route4me API access. They'll paste the API key into Switchy once; after that, anyone on your Switchy workspace can ask the AI to check vehicles or update statuses. The connection doesn't count against Route4me's user seats.