How to Use the Yelp Fusion MCP in Mastra AI

Q: How do I validate business information using Yelp Fusion and Mastra AI?

Use the getbusinessdetails tool to fetch all rich data points. If that step fails, your workflow can automatically retry or switch to a fallback search like searchbyphone. The process is reliable.

Q: Does Yelp Fusion support complex event searches in Mastra AI?

The workflow can manage searching for events via searchevents and then conditionally calling geteventdetails if the initial search finds multiple options. This makes decisioning powerful.

Build reliable, multi-step Yelp Fusion workflows with Mastra AI.

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Connect Yelp Fusion MCP to Mastra AI

Create your Vinkius account to connect Yelp Fusion to Mastra AI 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 Mastra AI

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Perplexity

Complex Business Research with MCP Server

The `match_business` tool lets you find a Yelp business that matches exact input data. This is perfect for workflow steps where accuracy matters, like validating a client record. You can then run a sequence: match the business, get its details using `get_business_details`, and finally pull recent reviews with `get_business_reviews`. Mastra handles retries if any step fails.

Automated Event & Job Discovery for Mastra AI

When a workflow needs to find an event, the `search_events` tool kicks off the process. If the primary search fails (say, no events found), you can implement a retry step using the `get_featured_event` tool instead. Alternatively, if it’s a service call, `get_jobs` handles the query and provides job types, making your automation robust even when external APIs are flaky.

Multi-Step Search Validation with MCP Server

You can validate user input by first running `autocomplete` to get suggestions for keywords or categories. If that fails, the workflow moves on to using `search_businesses` with a known keyword. The server supports conditional logic: if the initial search yields zero results, you automatically switch to searching by phone number via `search_by_phone`, guaranteeing a result attempt.

Setup guide

Set up Yelp Fusion MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Yelp Fusion tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "yelp-fusion-mcp-client",
  servers: {
    "yelp-fusion-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Yelp Fusion Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Yelp Fusion tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Yelp Fusion transactions"
);
console.log(result.text);

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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 Mastra AI

Use the `get_business_details` tool to fetch all rich data points. If that step fails, your workflow can automatically retry or switch to a fallback search like `search_by_phone`. The process is reliable.

You define them as sequential steps. For example, first run `search_businesses` to find IDs, then pass those IDs into a loop calling `get_business_insights`. The workflow engine manages the state.

Yes. You can set up exponential backoff for external calls like `search_businesses`. If a service fails, it waits longer before retrying, preventing rate limits from crashing your overall process.

The workflow can manage searching for events via `search_events` and then conditionally calling `get_event_details` if the initial search finds multiple options. This makes decisioning powerful.

The server manages business reviews, service offerings, and general business details. You're dealing with third-party consumer information that needs careful handling in your workflow design.

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