Does order placement via the API bypass the normal Rappi checkout security rules?

No. The `place_order` tool uses your pre-authenticated method securely. Bank validations, anti-fraud algorithms, and location checks apply exactly as they would natively in the application avoiding compliance breaches entirely.

Can I explicitly track multiple concurrent active orders dynamically simultaneously?

Yes! Your agent can iterate over an array of active Order IDs using the `get_order_status` tool consistently. It parses coordinate updates and ETA drops, outputting a consolidated table summing up your entire inbound fleet seamlessly.

Are the store identifiers (storeId) universally stable across regions?

Store IDs are fundamentally unique keys generated explicitly by Rappi's catalog backend. They remain static for the lifetime of that specific branch location. Searching via `list_nearby_stores` initially is recommended to cache the correct target IDs dynamically.

Rappi API MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Rappi API
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Rappi API as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="rappi_api_agent",
    instruction=(
        "You help users interact with Rappi API "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Rappi API MCP Server

Empower your intelligent agents directly with Rappi API, the dominant delivery and logistics super-app bridging Latin America. Bypass chaotic consumer screens and deploy 10 robust tools natively automating restaurant queries, massive localized delivery management, and real-time courier tracking through any AI system magically.

Google ADK natively supports Rappi API as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Logistics Control — Trace geographic rider coordinates, predict dynamic delivery fees, and seamlessly tip couriers natively without touching mobile interfaces.
Order Placement — Query menu endpoints securely, push nested orders to specific merchant ID endpoints, and execute transactions automatically in the background.
Customer Care Automation — Dispute missing items securely opening help tickets and communicating automatically via Support endpoints.
Market Analysis — Poll local 'Turbo' supermarkets or pharmacies parsing active stock pricing to feed comparative database dashboards.

The Rappi API MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Rappi API to Google ADK via MCP

Follow these steps to integrate the Rappi API MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Rappi API via MCP

Why Use Google ADK with the Rappi API MCP Server

Google ADK provides unique advantages when paired with Rappi API through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Rappi API

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Rappi API tools with BigQuery, Vertex AI, and Cloud Functions

Rappi API + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Rappi API MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Rappi API and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Rappi API tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Rappi API regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Rappi API

Rappi API MCP Tools for Google ADK (10)

These 10 tools become available when you connect Rappi API to Google ADK via MCP:

get_order_detail

Get full details for a specific order

get_order_handoff

Get handoff confirmation codes for an order

get_store_availability

Check availability status of a store

get_store_menu

Retrieve the full menu of a store

list_new_orders

List new incoming orders awaiting acceptance

list_stores

List all registered stores under your account

mark_ready_for_pickup

Signal that an order is ready for courier pickup

reject_order

Reject an incoming order with a reason

take_order

Accept and start preparing an incoming order

update_store_status

Open or close a store for receiving orders

Example Prompts for Rappi API in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Rappi API immediately.

"List nearby stores in the 'pharmacy' category around coordinates 4.6097, -74.0817."

"Check the delivery state and ETA for my active order number 8812920."

"Cancel the active order 88910 immediately citing missing items from the receipt."

Troubleshooting Rappi API MCP Server with Google ADK

Common issues when connecting Rappi API to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Rappi API + Google ADK FAQ

Common questions about integrating Rappi API MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.