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How to Use the GrabFood Partner MCP in LlamaIndex

Index GrabFood Partner live order history and menu data directly into your LlamaIndex vector store using this MCP Server for semantic search.

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LlamaIndex

Connect GrabFood Partner MCP to LlamaIndex

Create your Vinkius account to connect GrabFood Partner to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Index historical order data for RAG applications

The `list_orders` tool queries your historical GrabFood sales data for any specific date. LlamaIndex pulls these order payloads and indexes them into your vector store, turning raw transaction logs into searchable knowledge. This lets your query engine answer complex operational questions about peak sales hours or popular items. Your agent retrieves actual historical data instead of relying on generic LLM training data.

Audit active marketing campaigns with LlamaIndex

The `list_campaigns` tool retrieves all active and historical promotions running on your merchant account via the MCP Server. LlamaIndex parses these promotional budgets and performance metrics, embedding them directly into your operational index. When you query your agent about marketing spend, it references these embedded records. This ensures your next `create_campaign` call is backed by real performance history.

Monitor real-time storefront visibility

The `get_store_status` tool fetches the current operational state of your restaurant, including active pause flags. Your indexing pipeline checks this status regularly to keep your local operational log up to date. If the store is paused via `pause_store`, the event is logged in your vector index. This gives your agent the context needed to explain why order volumes dropped during a specific shift.

Setup guide

Set up GrabFood Partner MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all GrabFood Partner MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to GrabFood Partner tools.",
)
response = await agent.run("List recent GrabFood Partner data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GrabFood Partner. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about GrabFood Partner MCP in LlamaIndex

Install llama-index-tools-mcp and initialize the client. You then convert the server tools using McpToolSpec and pass them directly to your FunctionAgent.
Yes. The agent uses `batch_update_menu` to make targeted changes to prices or item availability based on queries run against your inventory index.
By grounding the agent in live data retrieved from `get_store_status` and `list_orders`. The agent only makes decisions based on the actual, real-time JSON payloads returned by the API.
Your agent can query your local inventory database, identify out-of-stock items, and immediately call `update_menu` or `batch_update_menu` to mark those dishes as unavailable.
All merchant IDs, menu structures, and order histories are processed in an isolated, ephemeral V8 sandbox. This MCP configuration data is never cached or written to persistent storage, keeping your restaurant's business metrics secure.

Start using the GrabFood Partner MCP today

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