Uber

Uber

Official

Book rides and Uber Eats orders inside ChatGPT — verified for 2026.

Quick answer

What it does

Books Uber rides (UberX, Uber Comfort, UberXL, etc.) from a destination prompt. Browses Uber Eats restaurants by cuisine, distance, and rating. Surfaces estimated pickup time and price before confirming.

Best for

  • On-demand ride booking
  • Uber Eats discovery
  • Class and ETA comparison
  • Quick destination handoffs

Not for

  • Uber for Business policy enforcement
  • Long-form trip planning

Setup recipe

Uber is a ChatGPT-native app — connect once from the directory, then try the prompt below.

  1. 1

    Connect

    Open Uber from the official ChatGPT Apps directory. First-run OAuth links it to your account — there is no command-line install, no JSON config, no environment variables.

    Open Uber in ChatGPT
  2. 2

    Try a minimum working prompt

    Book a ride to a saved address with a price preview

    Uber, get me an UberX from my current location to "Home" right now. Show me the price and ETA, then confirm the booking.

    Tested with: ChatGPT.

Tools & permissions

Tools list pending verification. The server exposes tools over MCP; we haven’t yet parsed its capability manifest into this page. Check the GitHub repo for the authoritative list.

Agent prompt pack

— copy into Claude, Cursor, or ChatGPT.
Paste into Claude, Cursor, or ChatGPT. Edit the [brackets] before sending.
Recommend the best MCP servers for [task: e.g. maps, location & weather work] in [client: ChatGPT].

Constraints:
- Prefer tools that are [official | open-source | read-only] — pick what matters for my use case.
- Exclude MCPs that require [e.g. a paid plan, OAuth-only flows, remote-only transport].
- Return at most 3 picks, ranked.

For each pick include:
1. One-sentence rationale.
2. The ready-to-paste install snippet for my client.
3. Any required secrets I need to create before installing.

Cross-check the top-mcps.com listing: https://top-mcps.com/top-mcps-for-maps-location-weather
Compare Uber against a real alternative. Swap the second MCP in [brackets] if you want a different match.
Compare Uber MCP vs [AllTrails MCP] for the following job: [describe the job, e.g. "let an agent create GitHub issues on bug triage"].

Judge them on:
- Setup time and complexity (what a new user hits first).
- Auth model (none / API key / OAuth 2.1) and credential risk.
- Transport (stdio / Streamable HTTP / SSE) and where the server runs.
- Required secrets and the blast radius if they leak.
- Operational risk in an unattended agent loop.
- Which one is "good enough" for a weekend prototype vs. production.

End with one sentence: which should I pick for my scenario, which is: [my scenario].

References:
- https://top-mcps.com/mcp/uber
- top-mcps.com listing for AllTrails
Asks the agent to install and verify. Works inside Claude Code, Cursor Agent, Codex CLI.
Install the Uber MCP server for my [client: ChatGPT] at the default config path for that client.

Use the exact install snippet published at https://top-mcps.com/mcp/uber (fetch https://top-mcps.com/mcp/uber.json for the canonical server.json if you can read URLs).

Before finishing:
1. Create the required secrets (no secrets) and put them in the appropriate env block — do not hard-code them.
2. Restart or reload the client so it picks up the new server.
3. Verify the server is connected (green / running state) and at least one tool is listed.
4. If anything fails, read the client's MCP logs and report the exact error — do not silently retry.

Confirm when done and list the tools the server now exposes.

Frequently asked questions

What changed

2 updates tracked.
  1. Refreshed install snippets and fact sheet; verified for 2026.

  2. Initial directory listing.

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