Fleet management without the fleet-management software.
Save the vehicles your business runs on into one list — statuses, notes, recall tracking with a daily email digest. Then let your systems read it over REST and your AI agents read it over MCP. No TMS, no GPS hardware, no per-vehicle-per-month pricing.
Built on 1,342,720 licensed vehicle records — cars, motorcycles, boats and tire fitments.
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clear2022 Ford Transit 250owned · “Depot van 3”
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2 campaigns2021 Ford F-150owned · “Site truck”
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clear2024 Toyota RAV4 Hybridconsidering · “Sales fleet refresh”
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clear2019 Freightliner M2 106wishlist · “Box truck, Q3”
The list
Everything a working fleet list needs
Statuses and notes stay human. Recalls, alerts and machine-readability are automatic.
Statuses & notes
Mark vehicles owned, wishlist or considering. Attach what your business knows — plate refs, part numbers, customer names — as notes on each row.
Recall exposure dashboard
One screen showing every NHTSA campaign that touches a vehicle on your lists — counts, latest campaigns and safety ratings per vehicle.
Daily recall digest
The NHTSA mirror syncs weekly; every morning we check whether a new campaign matches a listed vehicle and email the owner the same day.
Saved searches with alerts
Hunting a specific configuration? Save the search — when a matching record lands in the catalog, you get an email.
CSV export
The shortlist leaves with you: one click to CSV for price lists, procurement sheets or the TMS you already have.
Team workspace
The list belongs to the team, not a person. Everyone curates; the owner's plan sets the quota. Offboarding-proof by design.
Fleet Management API
The same list, as two endpoints
Your pricing service, ERP or claims system reads the fleet exactly where your team left it — no exports, no sync jobs.
GET https://api.vehdb.com/v1/v1/lists
Authorization: Bearer TOKEN
→ { "count": 4, "data": [
{ "status": "owned",
"name": "2022 Ford Transit 250",
"notes": "Depot van 3",
"make": "Ford", "model": "Transit 250",
"year": 2022 }, … ] }
GET https://api.vehdb.com/v1/v1/lists/recalls
Authorization: Bearer TOKEN
→ { "vehicle": "2021 Ford F-150",
"recall_count": 2,
"latest_campaigns": [ … ],
"safety_rating": { "overall": "4" } }, …
- One Bearer token per team member; quota pools at the team level, metered per plan.
- Recall exposure covers cars and motorcycles on your lists — campaign counts, the latest campaigns and NCAP summaries in one call.
- Same UUIDs as the rest of the platform: a list row joins straight back to specs, EPA data and tire fitments.
Fleet Management MCP
The AI layer: your agent reads the fleet like a tool
Connect the VehDB MCP server and Claude, Cursor or any MCP client can pull your fleet list and reason over it against the full catalog.
“Which vehicles do we own, and what's the OEM tire size for each?”
1. my_lists → your 4 saved vehicles 2. tire_sizes_for_vehicle (per owned row) → OEM + alternates 3. answers in one table — no portal, no export, no copy-paste
- my_lists returns the fleet exactly as your team curated it — statuses and notes included.
- search_vehicles / get_vehicle enrich each row with specs and EPA fuel economy on demand.
- Curation stays human — vehicles enter the list in the dashboard, so the agent never hallucinates your fleet.
Fleet management questions
GET /v1/lists returns your fleet list (status, notes, make/model/year) and GET /v1/lists/recalls returns recall exposure across it — per-vehicle campaign counts, latest campaigns and NCAP summaries. Bearer token, team-scoped, metered per plan. See the API reference.
my_lists tool and research each vehicle against the catalog (specs, EPA data, tire fitments). Adding vehicles stays a human action in the dashboard — the list your agent reads is always one you trust. More on fleet management with AI.