How do I get my Foodpanda Partner API access token?

After being approved on the Foodpanda Partner Portal, you'll receive OAuth 2.0 Client Credentials. Use the `getAuthToken` flow with your client_id and client_secret to obtain a JWT Bearer token. This token is what you paste into the credential field.

Can I update my restaurant menu directly through this integration?

Yes! Use the `update_vendor_catalog` tool with the chain_id, vendor_id, and a JSON array of products. You can also use `add_catalog_products` to add specific items to your chain catalog.

What is the API rate limit for Foodpanda Partner API?

The Foodpanda Partner API has a rate limit of 50 requests per minute. The integration handles this automatically, but if you're doing bulk operations, be mindful of this constraint.

Can I temporarily close a restaurant via the API?

Yes, you can update the operational status using `update_vendor_status` to close or set the restaurant as busy to prevent new orders.

Foodpanda MCP Server for Pydantic AI 13 tools — connect in under 2 minutes

Name: Foodpanda
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 13 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Foodpanda through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Foodpanda "
            "(13 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Foodpanda?"
    )
    print(result.data)

asyncio.run(main())

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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 Foodpanda MCP Server

Connect your Foodpanda Partner account to any AI agent and take full control of your food delivery operations through natural conversation.

Pydantic AI validates every Foodpanda tool response against typed schemas, catching data inconsistencies at build time. Connect 13 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Vendor Catalog Management — Fetch, update, and export complete product catalogs for any restaurant in your chain
Category Organization — List and manage vendor categories to organize menu items efficiently
Order Tracking — Retrieve order details and full order history with date range filtering
Order Management — Update order status and details in real-time
Promotion Control — Create, update, and monitor promotional campaigns across your chain
Vendor Status — Check and update operational status (open, closed, busy) for any vendor
Catalog Jobs — Monitor async catalog update and product addition jobs

The Foodpanda MCP Server exposes 13 tools through the Vinkius. Connect it to Pydantic AI 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 Foodpanda to Pydantic AI via MCP

Follow these steps to integrate the Foodpanda MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 13 tools from Foodpanda with type-safe schemas

Why Use Pydantic AI with the Foodpanda MCP Server

Pydantic AI provides unique advantages when paired with Foodpanda through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Foodpanda integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Foodpanda connection logic from agent behavior for testable, maintainable code

Foodpanda + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Foodpanda MCP Server delivers measurable value.

Type-safe data pipelines: query Foodpanda with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Foodpanda tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Foodpanda and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Foodpanda responses and write comprehensive agent tests

Foodpanda MCP Tools for Pydantic AI (13)

These 13 tools become available when you connect Foodpanda to Pydantic AI via MCP:

add_catalog_products

Add products to chain catalog on Foodpanda

export_catalog

Export vendor catalog on Foodpanda

get_catalog_job

Get catalog job status on Foodpanda

get_order_details

Get order details from Foodpanda

get_order_history

Get order history for a vendor on Foodpanda

get_promotion_job

Get promotion job status on Foodpanda

get_vendor_catalog

Get vendor catalog from Foodpanda

get_vendor_categories

Get vendor categories from Foodpanda

get_vendor_status

Get vendor status from Foodpanda

update_order

Update an order on Foodpanda

update_vendor_catalog

Update vendor catalog on Foodpanda

update_vendor_status

g., open, closed, busy). Update vendor status on Foodpanda

upsert_promotion

Create or update a promotion on Foodpanda

Example Prompts for Foodpanda in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Foodpanda immediately.

"Show me the complete catalog for vendor 12345 in chain 67890."

"What's the status of order ORD-98765?"

"Set vendor 12345 to busy status due to high order volume."

Troubleshooting Foodpanda MCP Server with Pydantic AI

Common issues when connecting Foodpanda to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Foodpanda + Pydantic AI FAQ

Common questions about integrating Foodpanda MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Foodpanda MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.