# Uber Eats MCP Server

> Use this tool when you need to integrate natural language interaction with Uber Eats for seamless food ordering and delivery management. It solves problems of manual ordering and tracking by providing a conversational interface to manage Uber Eats services. The tool takes natural language inputs and outputs relevant ordering and delivery information, ideal for use cases requiring hands-free or voice-controlled food ordering experiences.

Canonical page: https://skillsregistry.net/skills/iflow-mcp-uber-eats-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/iflow-mcp-uber-eats-mcp-server

## Description

Enables interaction with Uber Eats for food ordering and delivery management through natural language, acting as a proof-of-concept MCP integration.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zq4fg770wn)
- **Repository:** <https://github.com/iflow-mcp/uber-eats-mcp-server>

## 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": "iflow-mcp-uber-eats-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/iflow-mcp-uber-eats-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/iflow-mcp-uber-eats-mcp-server/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