How to Use the Yelp Fusion MCP in LlamaIndex

Q: Can LlamaIndex manage job listings from Yelp Fusion?

Yep. You can index the output of getjobs. This allows you to create a searchable knowledge base specifically for home service requirements, making it easy to answer complex eligibility questions.

Q: If I search businesses using Yelp Fusion, how does LlamaIndex help?

It takes the raw data from searchbusinesses and turns it into semantic chunks. This means you can ask conceptual questions—like 'where is a good place for dinner near X'—and get precise answers.

Q: Does LlamaIndex support searching by phone number with Yelp Fusion?

Yes. You run searchbyphone, and the resulting business details are indexed. This keeps your search records searchable, allowing you to reference that specific contact information later.

Q: What data type is stored when using Yelp Fusion with LlamaIndex?

The server touches business details. When these are ingested into the index, they become part of your permanent knowledge base. This ensures you have persistent access to structured business information.

Build knowledge graphs using Yelp Fusion with LlamaIndex.

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Connect Yelp Fusion MCP to LlamaIndex

Create your Vinkius account to connect Yelp Fusion 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 Yelp Fusion with LlamaIndex

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Indexing Business Profiles

Don't just run a search; index the results. When you use `get_business_details`, LlamaIndex captures all that rich data and stuffs it into your vector store. Later, you can query past sessions or even general knowledge about Yelp Fusion based on this indexed information. It’s retrieval-augmented generation (RAG) for local business info.

Querying Local Event Data

Running `search_events` gives you a list of events, but indexing the results means you can query specifics later. Ask your agent: 'What was the biggest tech conference in downtown last month?' The index grounds that answer directly to the historical data retrieved from Yelp Fusion.

Search History and Transactions

The `search_transactions` tool finds businesses supporting food delivery. By indexing this, you create a persistent knowledge base of local takeout options. You can then combine that data with other indexed sources—like your own operational records—to answer complex questions about supply chain availability.

Setup guide

Set up Yelp Fusion 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 Yelp Fusion 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 Yelp Fusion tools.",
)
response = await agent.run("List recent Yelp Fusion 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 Yelp Fusion. 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 Yelp Fusion MCP in LlamaIndex

Because the MCP Server output is indexed, you can ask follow-up questions days later. Your agent won't hallucinate; it pulls the exact historical data from your vector store based on `search_businesses`.

Yep. You can index the output of `get_jobs`. This allows you to create a searchable knowledge base specifically for home service requirements, making it easy to answer complex eligibility questions.

It takes the raw data from `search_businesses` and turns it into semantic chunks. This means you can ask conceptual questions—like 'where is a good place for dinner near X'—and get precise answers.

Yes. You run `search_by_phone`, and the resulting business details are indexed. This keeps your search records searchable, allowing you to reference that specific contact information later.

The server touches `business details`. When these are ingested into the index, they become part of your permanent knowledge base. This ensures you have persistent access to structured business information.

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