Uber MCP Server
AI ride management: estimate prices, track trips, and manage locations via agents.
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What is the Uber MCP Server?
The Uber MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Uber via 9 tools. AI ride management: estimate prices, track trips, and manage locations via agents. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (9)
Tools for your AI Agents to operate Uber
Ask your AI agent "Estimate the price for an UberX from my home to the airport at 3pm tomorrow" and get the answer without opening a single dashboard. With 9 tools connected to real Uber data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Uber MCP Server capabilities
9 toolsRequires alias name, latitude, and longitude. Optionally include a full address string. The alias can be home, work, or any custom string. Returns the saved place details. Save a new place for the authenticated Uber user
Requires current user location to bias results. Returns place descriptions and structured address components. Use this to help users select valid pickup/dropoff locations before requesting rides. Autocomplete place predictions for Uber locations
Prices are in local currency. Use this to compare costs across different Uber ride types before booking. Get price estimate for an Uber ride between two locations
) available at the specified latitude/longitude. Returns product IDs, display names, capacity, and descriptions. Use this to see which ride options are available before requesting a ride or price estimate. Get available Uber products at a location
More specific than price estimates as it targets one product. Use this to get exact pricing before requesting a ride. Get detailed ride estimate for a specific Uber product
Returns place aliases, addresses, and coordinates. Use this to quickly reference saved locations for ride requests or price estimates without typing addresses. List saved places for the authenticated Uber user
Use this to compare how quickly different Uber services can pick you up. Lower times mean faster pickups. Get estimated pickup time for Uber at a location
Returns trip date, start/end locations, product used, distance, and price. Use this to review past rides, calculate expenses, or find a previous trip details. Get trip history for the authenticated Uber user
Use this to verify authentication and confirm which Uber account is connected. Get the authenticated Uber user profile
What the Uber MCP Server unlocks
What you can do
Connect your AI agents to the Uber platform for seamless ride management and trip planning:
- Get available ride products (UberX, Black, Comfort) at any location
- Estimate prices across all ride types before booking
- Compare pickup times to choose the fastest option
- View complete trip history with pricing and route data
- Save and manage favorite places (Home, Work, custom locations)
- Autocomplete place searches for accurate pickup/dropoff coordinates
How it works
1. Connect your Uber account via Server Token from the Uber Developer Portal
2. Ask your AI agent to estimate rides, check history, or manage saved locations
3. No app navigation needed — natural language commands execute all operations
4. Instant insights on pricing and availability across all Uber products
Who is this for?
Perfect for frequent travelers, executive assistants, travel planners, and corporate teams managing business transportation. Let AI agents handle ride planning, expense tracking via trip history, and location management. Ideal for professionals taking 10+ Uber rides monthly who want streamlined booking workflows and cost comparison automation.
Frequently asked questions about the Uber MCP Server
Can this MCP server book rides automatically?
This MCP server provides price estimates, time estimates, product availability, and trip history. Direct ride booking requires additional Uber API permissions (Requests API) available only to approved enterprise partners. Use this server for planning and comparison workflows.
What Uber API permissions do I need?
You need a Server Token from the Uber Developer Portal with access to: Products, Price Estimates, Time Estimates, History, User Profile, and Places endpoints. These are available in the standard developer tier without special approval.
Does this work with Uber Eats deliveries?
This MCP server focuses on Uber ride-sharing products (UberX, Black, Comfort, etc.). For Uber Eats merchant/delivery operations, a separate integration would be needed. Contact Uber for Eats API access.
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Connect Uber with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Uber MCP Server
Production-grade Uber MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.