Bring Ride Sharing
to LlamaIndex
Create your Vinkius account to connect Uber to LlamaIndex and start using all 9 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Uber MCP Server?
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
- Connect your Uber account via Server Token from the Uber Developer Portal
- Ask your AI agent to estimate rides, check history, or manage saved locations
- No app navigation needed — natural language commands execute all operations
- 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.
Built-in capabilities (9)
Requires 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
Why LlamaIndex?
LlamaIndex agents combine Uber tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
- —
Data-first architecture: LlamaIndex agents combine Uber tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Uber tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query Uber, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Uber tools were called, what data was returned, and how it influenced the final answer
Uber in LlamaIndex
Why run Uber with Vinkius?
The Uber connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 9 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Uber using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Uber and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Uber to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Uber for LlamaIndex
Every request between LlamaIndex and Uber is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Uber tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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