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 LlamaIndex 13 tools — connect in under 2 minutes

Name: Foodpanda
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 13 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Foodpanda as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Foodpanda. "
            "You have 13 tools available."
        ),
    )

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

asyncio.run(main())

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 Foodpanda MCP Server

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

LlamaIndex agents combine Foodpanda tool responses with indexed documents for comprehensive, grounded answers. Connect 13 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Foodpanda MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the Foodpanda MCP Server

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

Data-first architecture: LlamaIndex agents combine Foodpanda tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Foodpanda tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Foodpanda, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Foodpanda tools were called, what data was returned, and how it influenced the final answer

Foodpanda + LlamaIndex Use Cases

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

Hybrid search: combine Foodpanda real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Foodpanda to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Foodpanda for fresh data

Analytical workflows: chain Foodpanda queries with LlamaIndex's data connectors to build multi-source analytical reports

Foodpanda MCP Tools for LlamaIndex (13)

These 13 tools become available when you connect Foodpanda to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Foodpanda + LlamaIndex FAQ

Common questions about integrating Foodpanda MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Foodpanda tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.