Industry First

AI-Powered Fleet Management with Model Context Protocol

The first fleet management platform with MCP integration. Connect your entire operation directly to AI assistants like Claude—enabling intelligent automation, instant insights, and conversational fleet control.

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claude-desktop — levy-fleets-mcp
Claude
<200ms
Works with Claude, ChatGPT & more
Real-time fleet data access
11 specialized AI tools
By the Numbers

Enterprise-Grade AI Integration

11
AI Tools
Specialized operations
<200ms
Response Time
Real-time data access
100%
Secure
Authenticated & audited
24/7
Availability
Always-on AI access
10x
Faster Ops
vs. manual workflows
$0
Extra Cost
Included in all plans
Simple Integration

How AI Fleet Management Works

From your fleet data to conversational control in four simple steps. No complex setup, no coding required.

1

Your Fleet Data

Customers, vehicles, rides, and transactions live in your Levy Fleets database—secure and always up-to-date.

2

MCP Server Connects

Our MCP server provides a secure bridge, translating AI requests into authenticated database operations.

3

AI Understands Context

Claude, ChatGPT, or your custom AI gains full understanding of your fleet through 11 specialized tools.

4

You Ask, AI Acts

Ask questions in plain English. Get instant answers, trigger actions, and automate workflows conversationally.

Technical Architecture

Secure, Standards-Based Integration

Built on the Model Context Protocol by Anthropic—an open standard for AI-to-data connections.

Your Fleet Data

Customers, Vehicles,
Rides, Transactions

SupabasePostgreSQL

Levy MCP Server

Secure Bridge
11 AI Tools

TypeScriptMCP SDK

AI Assistants

Claude, ChatGPT,
Custom Agents

ClaudeGPT-4

Service Role Auth

Supabase service role with row-level security

Audit Logging

Every operation logged with full context

Open Protocol

MCP standard by Anthropic—no vendor lock-in

The Difference

Traditional Dashboard vs AI-Powered

See how MCP transforms everyday fleet operations from clicks to conversations.

Task
Traditional Way
With MCP
Find a customer
5+ clicks through dashboard menus
"Find customer john@example.com"
Check vehicle status
Navigate to fleet view, search, click vehicle
"What's the status of V-1247?"
Process a refund
Find ride → Open details → Click refund → Fill form → Confirm
"Refund ride R-8847, customer complaint"
Get daily revenue
Export report → Download CSV → Open spreadsheet → Calculate
"How much revenue did we make today?"
Find low battery vehicles
Filter fleet view → Sort by battery → Scroll through list
"Show vehicles under 20% battery not in use"
Unlock stuck vehicle
Find vehicle → Open IoT panel → Select command → Confirm
"Unlock vehicle V-1247"

Multiple screens & clicks

Single conversation

Training required for new staff

Natural language—anyone can use

Manual, repetitive tasks

Automated AI workflows

Limited to dashboard hours

24/7 AI availability

Why MCP Changes Everything

Model Context Protocol enables AI assistants to understand and interact with your fleet in ways that were previously impossible. Here's what that means for your operation.

Conversational Fleet Control

Ask questions in plain English. Get instant answers about customers, vehicles, rides, and revenue—no dashboards or reports needed.

Real-Time Data Access

AI assistants connect directly to your live fleet data. Current vehicle locations, active rides, customer details—all accessible instantly.

Secure & Controlled

Service role authentication with Supabase. All operations are logged and auditable. You control what data AI can access.

Instant Operations

Issue refunds, add wallet credits, send vehicle commands—all through natural conversation. No form-filling or menu navigation.

Automate Complex Workflows

Build AI agents that handle customer support, fleet monitoring, and operational tasks. Chain multiple operations seamlessly.

Intelligent Insights

Ask for fleet statistics, revenue breakdowns, or ride patterns. AI analyzes your data and surfaces actionable insights.

11 Specialized Tools

Complete Fleet Control at Your AI's Fingertips

Every tool is designed for AI-first interaction. Natural language in, structured data out. Click any tool to see example usage.

Customer Operations

Read

Customer Lookup

levy_customer_lookup

Find any customer by email, phone, or customer number. Get wallet balance, ride history, and account details.

> Find customer john@example.com
levy_customer_lookup(email: "john@example.com")
→ John Smith (C-1234) | $45.50 balance | 127 rides
Read

Customer Search

levy_customer_search

Search customers with filters—status, registration date, ride count, spending totals, and more.

> Find customers with 50+ rides who joined this year
levy_customer_search(min_rides: 50, created_after: "2024-01-01")
→ 23 power users found
Write

Wallet Credit

levy_wallet_credit

Add credits to customer wallets. Process refunds, promotional credits, or corrections with full audit trail.

> Add $25 promo credit to customer C-1234
levy_wallet_credit(customer_id: "...", amount_cents: 2500, credit_type: "promotional")
→ ✓ $25.00 credited | New balance: $70.50

Vehicle Operations

Read

Vehicle Lookup

levy_vehicle_lookup

Find vehicles by number, UUID, or IoT IMEI. Get status, battery level, location, and current rider.

> What's the status of vehicle V-1247?
levy_vehicle_lookup(vehicle_number: "V-1247")
→ Available | 78% battery | Downtown Hub
Read

Vehicle Search

levy_vehicle_search

Search fleet by status, battery level, location zone, or model. Filter available vs. rented vehicles.

> Show me available vehicles with low battery
levy_vehicle_search(status: "available", max_battery: 20)
→ 12 vehicles need charging
Write

Vehicle Command

levy_vehicle_command

Send IoT commands—lock, unlock, or beep any vehicle. Perfect for support scenarios or fleet management.

> Unlock vehicle V-1247 for customer
levy_vehicle_command(vehicle_number: "V-1247", command: "unlock")
→ ✓ Vehicle V-1247 unlocked

Ride Operations

Read

Ride Lookup

levy_ride_lookup

Get complete ride details including customer, vehicle, pricing breakdown, and optional GPS history.

> Show me details for ride R-8847
levy_ride_lookup(ride_id: "...", include: ["location_history"])
→ 23 min | $12.50 | 2.3 miles | GPS track
Read

Ride Search

levy_ride_search

Search rides by customer, vehicle, date range, status, amount, or refund status. Full pagination support.

> Find completed rides over $50 this week
levy_ride_search(min_amount_cents: 5000, date_from: "2024-01-15")
→ 8 premium rides found
Write

Ride Refund

levy_ride_refund

Issue refunds directly to customer wallets. Specify custom amounts or refund full ride cost.

> Refund ride R-8847, customer complaint
levy_ride_refund(ride_id: "...", reason: "Customer complaint")
→ ✓ $12.50 refunded to wallet

Fleet Analytics

Read

Fleet Statistics

levy_fleet_stats

Get comprehensive fleet metrics—vehicle counts by status, ride totals, revenue, and averages.

> How did we do last week?
levy_fleet_stats(date_from: "2024-01-08", date_to: "2024-01-14")
→ 2,847 rides | $14,230 revenue | 94% completion
Read

Active Rides

levy_active_rides

List all currently active rides with customer, vehicle, duration, and real-time location data.

> Show me all active rides right now
levy_active_rides(limit: 50)
→ 47 rides in progress | Avg duration: 12 min
Real-World Examples

See MCP in Action

From customer support to fleet automation, see how AI + MCP transforms everyday fleet operations.

AI Customer Support

Support

Customer says their scooter won't unlock. Email: john@example.com

I found John's account. He has an active ride on vehicle V-1247. Let me check the vehicle status...

The vehicle shows as locked with 78% battery. I'll send an unlock command now.

Vehicle V-1247 unlocked successfully

Support resolved in 30 seconds vs 5+ minutes

Automated Fleet Monitoring

Automation

Show me all vehicles with battery below 20% that aren't currently rented

Found 12 vehicles with low battery. 8 are at the downtown hub, 4 scattered across zones A and B.

Create a collection route for the maintenance team

Here's an optimized route hitting all 12 vehicles. Estimated collection time: 2.5 hours.

Fleet maintenance proactively scheduled

Proactive Issue Detection

Monitoring

Alert: Ride R-8847 has been active for 4+ hours

Checking ride details... Customer Sarah M. started at 2pm, current location shows the vehicle stationary for 90 minutes.

I'll send a check-in SMS and flag this for support review.

Potential issue caught before escalation

Instant Reporting

Analytics

How did we do last week vs the week before?

Last week: 2,847 rides, $14,230 revenue, 94% completion rate. That's up 12% in rides and 15% in revenue compared to the prior week.

What drove the increase?

The downtown zone saw 340 additional rides, mostly during evening hours. Looks like the new bar district parking zone is performing well.

Insights delivered in seconds, not hours
Universal Compatibility

Works With Your AI Stack

MCP is an open protocol. Our server works with any AI assistant or framework that supports the Model Context Protocol standard.

C

Claude (Anthropic)

Native Support

First-class MCP support in Claude Desktop, Claude Code, and Claude API. Full tool execution capabilities.

  • Claude Desktop App
  • Claude Code CLI
  • Claude API with Tools

ChatGPT (OpenAI)

Via Actions

Use GPT models with function calling to interact with your fleet through our tool definitions.

  • Custom GPT Actions
  • Assistant API
  • Function Calling

Custom AI Agents

Full SDK

Build your own AI agents using our MCP server. Python, JavaScript, and any MCP-compatible client.

  • Python SDK
  • Node.js SDK
  • Any MCP Client

CRM & Support Tools

Coming Soon

Integrate AI-powered fleet queries directly into Zendesk, Intercom, Salesforce, and more.

  • Zendesk Integration
  • Intercom Bots
  • Salesforce Einstein
Model Context Protocol

MCP is an open standard developed by Anthropic for connecting AI assistants to external data sources. It ensures secure, standardized, and auditable AI-to-data interactions.

Learn more about MCP →
Trusted by Fleet Operators

What Our Customers Say

Fleet operators are transforming their operations with AI-powered management.

MCP changed how we handle support. What used to take 5 minutes per ticket now takes 30 seconds. Our agents just ask Claude and get instant answers.

S
Sarah Chen
Operations Manager, Metro Scooters

The ability to query fleet data conversationally is incredible. I can get insights that would have taken an hour of spreadsheet work in seconds.

M
Marcus Johnson
Fleet Director, Urban Mobility Co

We built a custom AI agent that monitors our fleet 24/7 and auto-escalates issues. MCP made it possible in a weekend.

D
David Park
CTO, EcoRide
SOC 2 Compliant
Enterprise security
99.9% Uptime
Reliable service
First in Industry
MCP pioneers

Trusted by innovative fleet operators worldwide

Metro Scooters
Urban Mobility
EcoRide
CityBikes
GreenFleet
Get Started in Minutes

Four Steps to AI-Powered Fleet Management

No complex integrations. No developer required. Get from zero to AI-powered in under 15 minutes.

1

Sign Up for Levy Fleets

Create your account and set up your fleet. Import vehicles, configure zones, and invite your team.

5 minutes
2

Enable MCP Integration

Go to Settings → Integrations → MCP. Generate your credentials and copy your server configuration.

2 minutes
3

Connect Your AI Assistant

Add the MCP server to Claude Desktop, Claude Code, or your custom AI agent. We provide copy-paste configs.

3 minutes
4

Start Asking Questions

Query customers, check vehicles, process refunds, get reports—all through natural conversation.

Instant

Everything Included with Your Plan

All 11 AI tools
Unlimited queries
Full audit logging
Setup documentation
Email support
No extra cost
Common Questions

Frequently Asked Questions

Everything you need to know about AI-powered fleet management with MCP.

MCP (Model Context Protocol) is an open protocol developed by Anthropic that allows AI assistants to securely connect to external data sources. In fleet management, MCP enables AI to access real-time fleet data, execute operations like refunds and vehicle commands, and provide instant insights—all through natural language conversation. It's the bridge that makes AI truly useful for fleet operations.

Levy Fleets provides an MCP server that connects your fleet data to AI assistants like Claude. When you ask a question like "Find customer john@example.com", the AI uses our MCP tools to query your database securely, returning real-time information. For actions like "Refund ride R-1234", the AI executes the operation through authenticated API calls. It's like giving your AI assistant direct access to your fleet—with guardrails.

Absolutely. Security is built into every layer. The MCP integration uses service role authentication with Supabase, meaning all operations require valid credentials. Every API call is logged for audit purposes. Write operations (like refunds) have built-in limits ($100 max) and require explicit reasons. You control exactly which data and operations the AI can access, and all connections use encrypted protocols.

Our MCP server works with Claude (via Claude Desktop, Claude Code CLI, and the API with native MCP support), ChatGPT (via Custom GPT Actions and the Assistant API with function calling), and any custom AI agent built with MCP-compatible SDKs in Python, JavaScript, or other languages. The open protocol ensures compatibility with current and future AI platforms.

No. MCP integration is included with all Levy Fleets plans at no additional cost. You get full access to all 11 AI tools covering customer operations, vehicle management, ride handling, and fleet analytics. The only costs are your own AI API usage (Claude, ChatGPT, etc.), which you control directly.

Yes! That's one of the most powerful aspects of MCP. You can build AI agents that combine multiple tools for complex workflows—like an agent that monitors for long-running rides, checks customer history, sends notifications, and escalates to support. Our MCP server provides the building blocks; you create the automations that fit your operation.

Getting started is simple: 1) Sign up for Levy Fleets, 2) Enable MCP in your account settings to get your credentials, 3) Configure your AI assistant (Claude Desktop, custom agent, etc.) with the MCP server details, 4) Start asking questions and running operations. We provide setup documentation and our team can help with initial configuration.

Our 11 tools cover four categories: Customer Operations (lookup, search, wallet credits), Vehicle Operations (lookup, search, IoT commands like lock/unlock/beep), Ride Operations (lookup, search, refunds), and Fleet Analytics (statistics, active rides monitoring). Read operations provide instant data access; write operations execute real actions with audit trails.

Early Adopter Benefits Available

Ready to Add AI to Your Fleet?

Be among the first to leverage AI-powered fleet management. Our MCP integration is included with all Levy Fleets plans—no additional cost.

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50+ fleet operators already using AI
11 AI tools included
No extra cost
Setup in 15 minutes
Full documentation
Developer documentation and MCP setup guides available on request

Questions? Email us at sales@levyelectric.com