# mcp-tacobell

> mcp-tacobell — markswendsen-code-mcp-tacobell. Use this tool when you need to automate ordering of Mexican food from Taco Bell, solving problems of inefficient or manual food ordering processes. It takes in order details as input and outputs a confirmed order, providing a seamless interface for AI agents to interact with the Taco Bell menu. Ideal for use cases where automated food ordering is required, such as in smart home or virtual assistant applications.

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

## Description

MCP server for Taco Bell - let AI agents order Mexican food

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

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

## 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-tacobell"
    }
  }
}
```

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