Rappi API MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Rappi API as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="rappi_api_agent",
tools=tools,
system_message=(
"You help users with Rappi API. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Rappi API tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Rappi API MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Rappi API automatically
Why Use AutoGen with the Rappi API MCP Server
AutoGen provides unique advantages when paired with Rappi API through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Rappi API tools to solve complex tasks
Role-based architecture lets you assign Rappi API tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Rappi API tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Rappi API tool responses in an isolated environment
Rappi API + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Rappi API MCP Server delivers measurable value.
Collaborative analysis: one agent queries Rappi API while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Rappi API, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Rappi API data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Rappi API responses in a sandboxed execution environment
Rappi API MCP Tools for AutoGen (10)
These 10 tools become available when you connect Rappi API to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Rappi API to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Rappi API + AutoGen FAQ
Common questions about integrating Rappi API MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Rappi API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Rappi API to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
