# mcp-doordash

> mcp-doordash — markswendsen-code-mcp-doordash. Use this tool when you need to automate food delivery orders through DoorDash, allowing AI agents to interact with the platform seamlessly. It solves problems of manual ordering and integrates with AI systems to enable efficient food delivery experiences. The tool accepts order requests as input and outputs confirmation of successful orders, streamlining the food delivery process.

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

## Description

MCP server for DoorDash - let AI agents order food delivery

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/markswendsen-code/mcp-doordash)

## 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-doordash"
    }
  }
}
```

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