OptimoRoute
OptimoRoute is an online route optimization and planning solution for delivery, logistics, and field service companies.
Verdict
Common use cases
- Check driver availability before assigning orders
- Review today's route coverage at morning standup
- Identify unassigned stops that need attention
- Verify driver contact info for urgent updates
- Audit route plans before dispatch cutoff
Integration
- Vendor
- OptimoRoute
- Category
- productivity
- Auth
- API_KEY
- Tools
- 2
- Composio slug
optimoroute
Tools
- Get Drivers
Tool to retrieve all drivers in the system. use when you need up-to-date driver data including status and contact information.
- Get Planned Routes
Tool to retrieve all planned routes for a given date. use when you need a detailed view of routes including optional stops, route parameters, and unassigned orders.
Setup
Setup guide
- 11. In Switchy, open your workspace settings and navigate to the Integrations tab. 2. Search for OptimoRoute and click Connect. 3. You'll be prompted to enter an OptimoRoute API key — generate one by logging into your OptimoRoute account, going to Settings > API, and creating a new key with read permissions for drivers and routes. 4. Paste the key into Switchy and click Authorize. 5. Once connected, open any Space and type '@OptimoRoute get drivers' to confirm the connection works — you should see a list of your active drivers. 6. To query routes, try '@OptimoRoute get planned routes for today' and verify it returns your scheduled stops and assignments.
What teammates see: by default, memories from OptimoRoute 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 Active Drivers
@OptimoRoute get all drivers and show me their names, status, and phone numbers in a tableOpen in a Space →
Today's Route Summary
@OptimoRoute get planned routes for today and summarize how many stops each driver has, highlighting any unassigned ordersOpen in a Space →
Unassigned Orders Report
@OptimoRoute get planned routes for today and list all unassigned orders with their addresses and time windowsOpen in a Space →
Driver Contact Sheet
@OptimoRoute get all drivers and create a contact sheet with name, phone, and current status for eachOpen in a Space →
Route Capacity Check
@OptimoRoute get planned routes for today and tell me which drivers are near capacity and which have room for more stopsOpen in a Space →
Example outputs
Illustrative - representative of the model's voice and quality, not literal recordings.
@OptimoRoute show me all active drivers with their current status and contact info
Retrieved 12 active drivers from your OptimoRoute account. The list includes driver IDs, names, phone numbers, email addresses, and current status (available, on-route, off-duty). For example: Driver 'Sarah Chen' (ID: DR-4521) is currently on-route, contactable at +1-555-0142. Driver 'Mike Torres' (ID: DR-4503) is available for assignment. This snapshot reflects real-time driver availability as of the query timestamp.
This example demonstrates basic data retrieval using the Get Drivers tool. Requires API key with read access to driver records. The response structure is static — it won't show live GPS location or in-progress delivery updates unless your OptimoRoute plan includes those features and the MCP is extended to access them.
@OptimoRoute pull tomorrow's planned routes and flag any with more than 15 stops
Fetched 8 planned routes for January 15, 2025. Three routes exceed 15 stops: Route R-2401 (Sarah Chen, 18 stops, estimated 6.2 hours), Route R-2405 (Mike Torres, 17 stops, estimated 5.8 hours), and Route R-2408 (Alex Kim, 16 stops, estimated 5.5 hours). Each route includes stop sequences, estimated arrival times, and service durations. Two orders remain unassigned to any route.
This example combines the Get Planned Routes tool with AI reasoning to filter and analyze route data. The MCP retrieves route details for a specified date; the AI performs the '15+ stops' logic. Useful for capacity planning, but note that route parameters (time windows, vehicle capacity) aren't modified here — this is read-only analysis.
@OptimoRoute compare today's planned routes against our driver list and identify coverage gaps
Cross-referenced 8 planned routes against 12 active drivers. Coverage analysis: 5 drivers assigned to routes today, 7 drivers available but unassigned. Potential gap: Route R-2403 has 14 stops scheduled for a 4-hour window, but driver 'Jordan Lee' (assigned) reported off-duty status as of 9 AM. Recommend reassigning to available driver 'Casey Park' or splitting the route. Two unassigned orders (Order-7821, Order-7834) have no driver allocated.
This example showcases synthesis across both MCP tools — Get Drivers provides workforce status, Get Planned Routes provides scheduling data, and the AI identifies mismatches. This is analytical only; the MCP cannot reassign routes or update driver status. You'd need to make those changes in OptimoRoute's UI or via a separate write-enabled API integration.
Use-case deep-dives
When OptimoRoute wins for daily route handoffs
A 6-person field service team (HVAC, plumbing, or appliance repair) runs morning dispatch meetings where the ops manager assigns same-day emergency calls to drivers already on planned routes. OptimoRoute's Get Planned Routes tool pulls the day's schedule with stop sequences and time windows, so the AI can recommend which driver has slack capacity near the emergency address. The Get Drivers tool confirms who's active and reachable. This works when your routes change 2-4 times per day and you need real-time visibility without opening the OptimoRoute dashboard. If your team runs static weekly routes or you dispatch fewer than 10 jobs per day, the overhead of API polling outweighs the benefit—stick with manual checks. For teams doing 15+ dynamic stops daily, this MCP turns Switchy into a dispatch co-pilot that saves 20 minutes per re-route decision.
When this MCP handles ETA questions at scale
A 3-person customer support team at a home delivery startup fields 40+ 'where's my order?' calls per day. The OptimoRoute MCP lets the AI query Get Planned Routes by date and surface the customer's stop sequence, estimated arrival window, and driver contact—all without the support rep logging into OptimoRoute or pinging the dispatcher. This shines when your delivery volume is high enough that route lookups interrupt other work (roughly 25+ deliveries per day), but not so high that you've built a custom tracking portal. If you're under 15 deliveries daily, manually checking the OptimoRoute app is faster. If you're over 100, you likely need a dedicated customer-facing tracker, not an internal AI lookup. For the mid-volume sweet spot, this MCP turns Switchy into a self-service ETA desk that cuts average handle time by 90 seconds per inquiry.
When OptimoRoute data feeds capacity planning
A logistics manager at a regional distributor runs weekly planning sessions to decide whether to hire a fourth driver or adjust service areas. The OptimoRoute MCP pulls Get Drivers to see current roster status and Get Planned Routes across the past 5 business days to calculate average stops per driver, route density, and unassigned order trends. The AI summarizes utilization patterns and flags capacity bottlenecks without manual spreadsheet exports. This pays off when you're in growth mode (10-30% volume increase per quarter) and need weekly data snapshots to justify headcount or territory splits. If your routes are stable month-to-month, quarterly manual reviews suffice. If you're scaling past 20 drivers, you need BI dashboards, not ad-hoc AI queries. For teams in the 3-8 driver range with variable demand, this MCP turns Switchy into a lightweight capacity analytics layer that informs hiring decisions 2-3 weeks earlier.
Frequently asked
What does the OptimoRoute MCP do in Switchy?
It lets your AI agents pull driver lists and planned routes from OptimoRoute without leaving the chat. Your team can ask questions like "who's on shift today" or "show me tomorrow's unassigned orders" and get live data back. The MCP reads your route plans and driver statuses — it doesn't create or modify routes.
Do I need admin access to connect OptimoRoute?
You need an OptimoRoute API key, which typically requires account owner or admin permissions to generate. The key authenticates all requests, so whoever connects it in Switchy should have read access to drivers and routes. Check your OptimoRoute account settings to confirm you can create API keys before starting setup.
Can the MCP reassign stops or optimize routes?
No. It only reads driver data and planned routes for a given date. If you need to move stops between drivers or re-optimize a route, you still do that in OptimoRoute's web app. The MCP is for answering questions about existing plans, not changing them.
Why use this instead of logging into OptimoRoute directly?
Speed and context. Your team can ask "which drivers are available Friday" in the same chat where they're planning a project, without opening another tab or remembering OptimoRoute's filter syntax. The MCP pulls exactly the data you ask for — no clicking through dashboards.
Who on the team should connect this MCP?
Whoever manages your OptimoRoute account and has API key access. Once connected, any Switchy workspace member can query driver and route data through the AI. The connection itself doesn't consume OptimoRoute seats, but frequent queries count against your API rate limits if OptimoRoute enforces them.