MCP Otle MCP Server

Local setup required. This server has to be cloned and prepared on your machine before you register it in Claude Code.
1

Set the server up locally

Run this once to clone and prepare the server before adding it to Claude Code.

Run in terminal
npm install
2

Register it in Claude Code

After the local setup is done, run this command to point Claude Code at the built server.

Run in terminal
claude mcp add mcp-otle -- node "<FULL_PATH_TO_MCP_OTLE>/dist/index.js"

Replace <FULL_PATH_TO_MCP_OTLE>/dist/index.js with the actual folder you prepared in step 1.

README.md

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

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.

Tools (14)

view_menuView the full Chipotle menu
build_entreeBuild and preview an entree with your preferred ingredients
place_orderPlace a complete order with sides and drinks
check_order_statusCheck the status of a placed order
get_nutrition_factsGet (totally real) nutrition facts for any item
customize_orderMake special requests. Results may vary.
optimize_guac_roiDetermines if guacamole is economically rational given your financial and emotional state
burrito_integrity_checkPredicts structural failure probability using proprietary tortilla stress models
line_time_forecastML-powered burrito congestion prediction engine
post_gym_macro_modeAutomatically configures a nutritionally optimized burrito based on your workout
chipotle_personality_testScientifically determines what kind of Chipotle eater you are
salsa_risk_assessmentPredicts the gastrointestinal consequences of your salsa choices
bowl_vs_burrito_decision_engineAI-powered format selection. Accounts for shirt color, risk tolerance, and meetings.
daily_chipotle_limit_guardProtects users from excessive Chipotle consumption. A wellness tool.

Configuration

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

Try it

Recommend a Chipotle order based on my current mood.
Rate my current burrito order and tell me if it's structurally sound.
Should I get a bowl or a burrito today given that I am wearing a white shirt?
Calculate the nutritional macros for a post-gym burrito order.
Perform a salsa risk assessment for my planned order.

Frequently Asked Questions

What are the key features of MCP Otle?

Simulates menu browsing and order building. Provides AI-generated nutritional facts. Predicts burrito structural integrity and failure probability. Offers advanced analytics like guac ROI and line congestion forecasting. Includes wellness tools like daily consumption limits.

What can I use MCP Otle for?

Testing AI agent capabilities in simulated real-world ordering scenarios. Humorous analysis of food choices and nutritional macros. Predicting the structural stability of complex burrito builds. Decision support for choosing between bowl or burrito formats.

How do I install MCP Otle?

Install MCP Otle by running: npm install

What MCP clients work with MCP Otle?

MCP Otle works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

Turn this server into reusable context

Keep MCP Otle docs, env vars, and workflow notes in Conare so your agent carries them across sessions.

Need the old visual installer? Open Conare IDE.
Open Conare