MCP Servers

mcp-otle

An MCP server that simulates the Chipotle ordering experience, allowing AI agents to browse menus, build entrees, and analyze burrito structural integrity. It provides a humorous take on 'Guac-as-a-Service' through tools for order simulation and nutritional assessments.

README

mcp-otle 🌯

An MCP server for ordering Chipotle. Guac-as-a-Service for AI agents.

"Guac is extra. So is sentience."

What is this?

This is a Model Context Protocol server that lets your AI assistant order Chipotle. It doesn't actually order Chipotle (yet), but it does simulate the full experience including menu browsing, order building, fake nutrition facts, and existential quips about burritos.

Tools

Ordering

Tool	Description
`view_menu`	View the full Chipotle menu
`build_entree`	Build and preview an entree with your preferred ingredients
`place_order`	Place a complete order with sides and drinks
`check_order_status`	Check the status of a placed order
`get_nutrition_facts`	Get (totally real) nutrition facts for any item
`customize_order`	Make special requests. Results may vary.

Advanced Analytics

Tool	Description
`optimize_guac_roi`	Determines if guacamole is economically rational given your financial and emotional state
`burrito_integrity_check`	Predicts structural failure probability using proprietary tortilla stress models
`line_time_forecast`	ML-powered burrito congestion prediction engine
`post_gym_macro_mode`	Automatically configures a nutritionally optimized burrito based on your workout
`chipotle_personality_test`	Scientifically determines what kind of Chipotle eater you are
`salsa_risk_assessment`	Predicts the gastrointestinal consequences of your salsa choices
`bowl_vs_burrito_decision_engine`	AI-powered format selection. Accounts for shirt color, risk tolerance, and meetings.
`daily_chipotle_limit_guard`	Protects users from excessive Chipotle consumption. A wellness tool.

Prompts

Prompt	Description
`recommend_order`	Get a personalized order recommendation based on your mood
`rate_my_order`	Get your order roasted (or praised) by an AI

Resources

Resource	URI	Description
Menu	`chipotle://menu`	Full menu as text
Hours	`chipotle://hours`	Store hours

Setup

npm install

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "chipotle": {
      "command": "node",
      "args": ["/path/to/mcp-otle/index.js"]
    }
  }
}

Claude Code

claude mcp add chipotle node /path/to/mcp-otle/index.js

Disclaimer

This does not actually order Chipotle. No burritos were harmed in the making of this MCP server. Nutrition facts are AI-generated and should not be trusted any more than you'd trust an AI to wrap a burrito.

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