# io.github.markswendsen-code/ubereats

> Use this tool when you need to automate food delivery ordering through Uber Eats, solving last-mile logistics and meal planning problems for individuals or businesses. It provides an interface for AI agents to input order details and receive output confirmations, streamlining the ordering process. Ideal for use cases where automated meal ordering is required, such as smart home assistants or office management systems.

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

## Description

MCP server for Uber Eats - let AI agents order food delivery

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.markswendsen-code%2Fubereats)
- **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": "io-github-markswendsen-code-ubereats"
    }
  }
}
```

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