RappiMCP

RappiMCP

Enables Claude to browse stores, search products, manage the cart, and open checkout on Rappi Chile through natural language, automating grocery and delivery purchases.

Category
Visit Server

README

RappiMCP

<!-- mcp-name: io.github.bgirardi99/rappi-mcp -->

Program : RappiMCP
Author  : Bastian Girardi
Date    : April 2, 2026
Purpose : Built to automate grocery and delivery purchases on Rappi Chile
          through Claude — eliminating the need to manually browse the app
          when you just want to tell an AI what you need and have it ordered.

An MCP (Model Context Protocol) server that gives Claude full control over Rappi Chile — browse stores, search products, manage the cart, and open checkout — all through natural language.

How it works

The server is built with FastMCP and exposes tools that Claude can call. It communicates with Rappi via their internal web API (services.rappi.cl), authenticated with tokens extracted directly from a Chrome browser session using the Chrome DevTools Protocol (CDP).

Claude ──tools──▶ rappi_mcp.py ──HTTP──▶ services.rappi.cl
                       │
                       └──CDP──▶ Chrome (auth + checkout navigation)

Setup

1. Install dependencies

pip install -r requirements.txt

2. Configure Claude Code

Add this to your Claude Code MCP settings (claude_desktop_config.json or equivalent):

{
  "mcpServers": {
    "RappiMCP": {
      "command": "python",
      "args": ["C:/path/to/RappiMCP/rappi_mcp.py"]
    }
  }
}

3. Authenticate

On first use, call rappi_auth to extract your Rappi credentials from Chrome and save them to .env. No manual token copying needed.

Authentication

Rappi uses rotating JWT tokens stored as browser cookies. The auth flow:

  1. rappi_auth(use_existing_chrome=False) — launches a dedicated Chrome window at rappi.cl (on CDP port 9223) and waits up to 2 minutes for you to log in
  2. Once logged in, it reads three cookies via CDP:
    • rappi.data (Base64 JSON) → user_id
    • deviceid → device_id
    • rappi_refresh_token → refresh_token
  3. Exchanges the refresh token for a fresh access_token via POST /api/rocket/refresh-token
  4. Writes all four values to .env

rappi_auth(use_existing_chrome=True) (default) — attaches to an already-running Chrome with --remote-debugging-port=9223 and reads cookies immediately (you must already be logged in).

Token refresh

RappiClient handles token rotation automatically. If any API response includes the header x-refresh-token: true, it transparently refreshes both tokens and retries the request.

Environment variables

RAPPI_ACCESS_TOKEN   — Bearer token for API calls
RAPPI_REFRESH_TOKEN  — Used to obtain new access tokens
RAPPI_DEVICE_ID      — UUID identifying the browser session
RAPPI_USER_ID        — Numeric Rappi user ID

See .env.example for the expected format.

Tools reference

rappi_auth(use_existing_chrome=True)

Extract credentials from Chrome and write them to .env. Set use_existing_chrome=False to launch a fresh Chrome window and wait for login.


rappi_reload()

Reload tokens from .env and restart the API client — without restarting the MCP server. Useful after manually editing .env.


rappi_list_stores(category, query, limit)

List stores available for delivery near your saved address.

Param Default Description
category "market" Store category: "market", "restaurant", "farma", "licores", "express-big", or any Rappi store_type slug
query "" Optional name filter
limit 50 Max results

Returns: store_id, name, store_type, lat, lng, eta, shipping_cost.

store_id is used by rappi_search_products. store_type is used by all cart tools.


rappi_get_store(store_id)

Look up metadata for a specific store by its numeric ID. Returns store_type (the slug needed for cart operations).


rappi_search_products(store_id, query, size, offset)

Search products within a store. Queries in Spanish work best.

Param Default Description
store_id required From rappi_list_stores
query required Search term (e.g. "cerveza", "preservativos")
size 40 Results per page (max 40)
offset 0 Pagination offset

Returns: composite_id, name, trademark, price, real_price, discount, quantity, unit_type, sale_type, in_stock.

Use composite_id and sale_type when adding to cart.


rappi_get_cart(store_type)

Read the current cart contents for a given store. Returns a list of items with composite_id, units, sale_type, name, price.


rappi_add_to_cart(store_id, store_type, composite_id, units, sale_type)

Add a product to the cart (or increment its quantity if already present). Internally: reads current cart → appends/increments → writes back via a full PUT.


rappi_remove_from_cart(store_id, store_type, composite_id)

Remove a specific product from the cart by its composite_id.


rappi_clear_cart(store_id, store_type)

Empty the entire cart for a store.


rappi_checkout(store_type)

Navigate Chrome to the checkout page for a store. Each store has its own checkout URL:

https://www.rappi.cl/checkout/{store_type}

Examples:

  • turbo_rappidrinks_nc → rappi.cl/checkout/turbo_rappidrinks_nc
  • cruz_verde_rappido_nc → rappi.cl/checkout/cruz_verde_rappido_nc
  • lider → rappi.cl/checkout/lider

Rappi does not support consolidated multi-store checkout. Each store cart must be checked out separately.

Typical flow

1. rappi_auth()                          # authenticate once
2. rappi_list_stores(category="farma")   # find pharmacies
3. rappi_search_products(store_id, "preservativos")  # search
4. rappi_add_to_cart(store_id, store_type, composite_id, 1, "U")
5. rappi_checkout(store_type)            # open checkout in Chrome

File structure

RappiMCP/
├── rappi_mcp.py      # MCP server — tool definitions, auth logic, CDP helpers
├── rappi_client.py   # Rappi API client with automatic token refresh
├── requirements.txt  # Python dependencies
├── .env              # Credentials (git-ignored)
└── .env.example      # Credentials template

Notes

  • The server uses CDP port 9223 (not the default 9222) to avoid conflicts with other tools
  • Checkout navigation also uses CDP — the same Chrome instance used for auth
  • store_type slugs come from rappi_list_stores and must be passed exactly as returned (e.g. "turbo_rappidrinks_nc", not "turbo")

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured