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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up GrabFood Partner MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all GrabFood Partner MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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.
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Common questions about GrabFood Partner MCP in LlamaIndex
Use it with your favorite AI tools
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