How to Use the GoFood MCP in LlamaIndex

Q: How do I index my GoFood menu using LlamaIndex?

You call getcatalog through the MCP tool spec to pull your raw menu data. LlamaIndex then parses this catalog into document nodes, embedding them directly into your vector database for semantic search.

Q: Can LlamaIndex automatically update GoFood stock levels?

Yes, by using updatemenustocks within a functional agent pipeline. The LlamaIndex agent queries your local stock index and calls the tool to update GoFood whenever it detects a discrepancy.

Q: How do I analyze GoFood outlet performance in LlamaIndex?

Use getoutletinfo to retrieve specific store profiles. You can index this metadata alongside your sales records to generate grounded insights on individual outlet performance.

Q: How do I manage multiple restaurant connections?

Run listlinkedoutlets to fetch all active storefronts. If you need to add or remove a kitchen, use linkoutlet or unlinkoutlet to adjust your active MCP index sources.

Index live GoFood menus and order histories into LlamaIndex to run restaurant operations grounded in real-time store data.

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Create your Vinkius account to connect GoFood 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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Setup GoFood with LlamaIndex

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Ground GoFood store decisions in indexed catalog data

`get_catalog` extracts your complete menu structure directly into your LlamaIndex vector store. This MCP process lets your agent run semantic searches over your active dishes to answer customer questions or make rapid pricing adjustments. You eliminate hallucinations because the agent retrieves actual menu items instead of guessing. Every query matches live item descriptions and pricing structures stored in your GoFood database.

Synced inventory lookups via LlamaIndex MCP Server

`update_menu_stocks` modifies your store's availability records based on real-time search queries. Your LlamaIndex agent parses your local inventory documents, compares them to your active digital stock, and pushes updates to match. This mechanism keeps your physical kitchen and digital storefront aligned. By indexing the results of each stock update, your agent maintains a searchable log of inventory shifts over time.

Query active GoFood promotions semantically

`list_promos` fetches active marketing campaigns to feed your knowledge index. Your LlamaIndex agent searches this index to determine which discounts are currently active and where they apply across your estate. This setup lets you identify underperforming campaigns. You can then use `create_promo` to launch highly targeted discounts based on the gaps identified in your promotional index.

Setup guide

Set up GoFood MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
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

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all GoFood MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
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 GoFood tools.",
)
response = await agent.run("List recent GoFood data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GoFood / GoBiz. 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 GoFood MCP in LlamaIndex

You call `get_catalog` through the MCP tool spec to pull your raw menu data. LlamaIndex then parses this catalog into document nodes, embedding them directly into your vector database for semantic search.

Yes, by using `update_menu_stocks` within a functional agent pipeline. The LlamaIndex agent queries your local stock index and calls the tool to update GoFood whenever it detects a discrepancy.

Use `get_outlet_info` to retrieve specific store profiles. You can index this metadata alongside your sales records to generate grounded insights on individual outlet performance.

Run `list_linked_outlets` to fetch all active storefronts. If you need to add or remove a kitchen, use `link_outlet` or `unlink_outlet` to adjust your active MCP index sources.

All API tokens, menu structures, and pricing data remain isolated within an ephemeral sandbox environment. Vinkius handles the authorization layer securely, ensuring your raw credentials never leak into your LlamaIndex vector storage.

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