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.
From your fleet data to conversational control in four simple steps. No complex setup, no coding required.
Customers, vehicles, rides, and transactions live in your Levy Fleets database—secure and always up-to-date.
Our MCP server provides a secure bridge, translating AI requests into authenticated database operations.
Claude, ChatGPT, or your custom AI gains full understanding of your fleet through 11 specialized tools.
Ask questions in plain English. Get instant answers, trigger actions, and automate workflows conversationally.
Customers, vehicles, rides, and transactions live in your Levy Fleets database—secure and always up-to-date.
Our MCP server provides a secure bridge, translating AI requests into authenticated database operations.
Claude, ChatGPT, or your custom AI gains full understanding of your fleet through 11 specialized tools.
Ask questions in plain English. Get instant answers, trigger actions, and automate workflows conversationally.
Built on the Model Context Protocol by Anthropic—an open standard for AI-to-data connections.
Customers, Vehicles,
Rides, Transactions
Secure Bridge
11 AI Tools
Claude, ChatGPT,
Custom Agents
Supabase service role with row-level security
Every operation logged with full context
MCP standard by Anthropic—no vendor lock-in
See how MCP transforms everyday fleet operations from clicks to conversations.
"Find customer john@example.com""What's the status of V-1247?""Refund ride R-8847, customer complaint""How much revenue did we make today?""Show vehicles under 20% battery not in use""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
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.
Ask questions in plain English. Get instant answers about customers, vehicles, rides, and revenue—no dashboards or reports needed.
AI assistants connect directly to your live fleet data. Current vehicle locations, active rides, customer details—all accessible instantly.
Service role authentication with Supabase. All operations are logged and auditable. You control what data AI can access.
Issue refunds, add wallet credits, send vehicle commands—all through natural conversation. No form-filling or menu navigation.
Build AI agents that handle customer support, fleet monitoring, and operational tasks. Chain multiple operations seamlessly.
Ask for fleet statistics, revenue breakdowns, or ride patterns. AI analyzes your data and surfaces actionable insights.
Every tool is designed for AI-first interaction. Natural language in, structured data out. Click any tool to see example usage.
levy_customer_lookupFind any customer by email, phone, or customer number. Get wallet balance, ride history, and account details.
levy_customer_lookup(email: "john@example.com")levy_customer_searchSearch customers with filters—status, registration date, ride count, spending totals, and more.
levy_customer_search(min_rides: 50, created_after: "2024-01-01")levy_wallet_creditAdd credits to customer wallets. Process refunds, promotional credits, or corrections with full audit trail.
levy_wallet_credit(customer_id: "...", amount_cents: 2500, credit_type: "promotional")levy_vehicle_lookupFind vehicles by number, UUID, or IoT IMEI. Get status, battery level, location, and current rider.
levy_vehicle_lookup(vehicle_number: "V-1247")levy_vehicle_searchSearch fleet by status, battery level, location zone, or model. Filter available vs. rented vehicles.
levy_vehicle_search(status: "available", max_battery: 20)levy_vehicle_commandSend IoT commands—lock, unlock, or beep any vehicle. Perfect for support scenarios or fleet management.
levy_vehicle_command(vehicle_number: "V-1247", command: "unlock")levy_ride_lookupGet complete ride details including customer, vehicle, pricing breakdown, and optional GPS history.
levy_ride_lookup(ride_id: "...", include: ["location_history"])levy_ride_searchSearch rides by customer, vehicle, date range, status, amount, or refund status. Full pagination support.
levy_ride_search(min_amount_cents: 5000, date_from: "2024-01-15")levy_ride_refundIssue refunds directly to customer wallets. Specify custom amounts or refund full ride cost.
levy_ride_refund(ride_id: "...", reason: "Customer complaint")levy_fleet_statsGet comprehensive fleet metrics—vehicle counts by status, ride totals, revenue, and averages.
levy_fleet_stats(date_from: "2024-01-08", date_to: "2024-01-14")levy_active_ridesList all currently active rides with customer, vehicle, duration, and real-time location data.
levy_active_rides(limit: 50)From customer support to fleet automation, see how AI + MCP transforms everyday fleet operations.
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
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.
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.
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.
MCP is an open protocol. Our server works with any AI assistant or framework that supports the Model Context Protocol standard.
First-class MCP support in Claude Desktop, Claude Code, and Claude API. Full tool execution capabilities.
Use GPT models with function calling to interact with your fleet through our tool definitions.
Build your own AI agents using our MCP server. Python, JavaScript, and any MCP-compatible client.
Integrate AI-powered fleet queries directly into Zendesk, Intercom, Salesforce, and more.
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 →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.”
“The ability to query fleet data conversationally is incredible. I can get insights that would have taken an hour of spreadsheet work in seconds.”
“We built a custom AI agent that monitors our fleet 24/7 and auto-escalates issues. MCP made it possible in a weekend.”
Trusted by innovative fleet operators worldwide
No complex integrations. No developer required. Get from zero to AI-powered in under 15 minutes.
Create your account and set up your fleet. Import vehicles, configure zones, and invite your team.
Go to Settings → Integrations → MCP. Generate your credentials and copy your server configuration.
Add the MCP server to Claude Desktop, Claude Code, or your custom AI agent. We provide copy-paste configs.
Query customers, check vehicles, process refunds, get reports—all through natural conversation.
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.
Be among the first to leverage AI-powered fleet management. Our MCP integration is included with all Levy Fleets plans—no additional cost.
Questions? Email us at sales@levyelectric.com