Talk to your fleet data
What if you could ask your fleet a question — and get an answer?“How did my drivers perform this week?” “Which stops failed yesterday and why?” “Compare this month to last month.” “Are there any routes still in progress?”No dashboards to navigate. No reports to export. No spreadsheets to cross-reference. Just ask. Bodha Route Planner’s MCP server connects your delivery data directly to AI assistants like Claude, Cursor, Windsurf, and any MCP-compatible client. Your AI assistant becomes a fleet analyst that knows every route, every stop, every driver — and can answer any question in seconds.
What is MCP?
MCP (Model Context Protocol) is the open standard that lets AI assistants call external tools and data sources. It’s supported by every major AI client — Claude Desktop, Cursor, Windsurf, VS Code Copilot, and more. Think of it this way:How it works
1
Generate an API key
Create a scoped API key in your Bodha Route Planner dashboard. Takes 30 seconds.
2
Paste one config block
Add a small JSON config to your AI assistant. We give you the exact text to copy.
3
Start asking questions
Open your AI assistant and ask anything about your routes, drivers, stops, or orders. The assistant calls Bodha Route Planner behind the scenes and gives you the answer in plain language.
What you can ask
The MCP server exposes 14 tools that cover your entire operation:Routes
List today’s routes, check status, see which ones are complete or still running.
Stops
Search for deliveries by name or address, check what failed and why, see completion details.
Drivers
See who’s on the road, who’s available, compare driver performance over any period.
Orders
Check your orders inbox, see what’s pending, what’s been assigned, what’s done.
Analytics
Get instant summaries — completion rates, on-time delivery, distance, trends. Compare any two periods.
Depots
View your depot locations and details.
Real conversations
Here’s what it looks like in practice: Morning check-in:You: “What’s happening today?” AI: “You have 8 routes today with 247 total stops across 8 drivers. 3 routes are in progress (112 stops completed so far), 5 are dispatched and waiting to start. Current completion rate is 89%. No failed stops yet today.”End-of-day review:
You: “How did we do this week vs last week?” AI: “This week: 42 routes, 1,340 stops, 94.2% completion rate, average 31.9 stops per route. Last week: 38 routes, 1,180 stops, 91.8% completion rate, 31.1 stops per route. That’s a 2.4% improvement in completion and 13.6% more stops delivered. Your fleet is trending up.”Investigating a problem:
You: “Which stops failed yesterday and what were the top reasons?” AI: “14 stops failed yesterday across 6 routes. Top reasons: Not home (7), Refused delivery (3), Wrong address (2), Access issue (1), Damaged package (1). The ‘not home’ failures were concentrated in the afternoon routes — you might consider tighter time windows for residential stops.”
Security first
Pricing
No per-call charges. MCP is included in your plan. The more you use it, the more value you get — we don’t meter it.
Get started
Setup guide
Generate your key and connect your AI assistant in 2 minutes.
Connect Claude Desktop
Step-by-step for Anthropic’s Claude Desktop app.
Connect Cursor
Step-by-step for the Cursor AI code editor.
All tools reference
Every tool, every parameter, every return field — documented.