# @striderlabs/mcp-ubereats

> Use this tool when you need to automate interactions with Uber Eats, such as searching restaurants, browsing menus, or placing orders. It solves problems like automated food ordering and delivery tracking by providing a browser automation interface using Playwright. The tool takes in search queries, menu selections, and order details as inputs and outputs order status and delivery updates.

Canonical page: https://skillsregistry.net/skills/markswendsen-code-mcp-ubereats  
JSON: https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-ubereats

## Description

MCP server for Uber Eats that lets AI agents search restaurants, browse menus, place orders, and track deliveries using Playwright browser automation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fn2yjjukaq)
- **Repository:** <https://github.com/markswendsen-code/mcp-ubereats>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "markswendsen-code-mcp-ubereats"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-ubereats` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-ubereats/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt