Connect your AI Agents to Yelp in minutes

What is a Yelp MCP server?

It’s an MCP server that lets you access data and functionality from Yelp via tools. Your agents can use these tools to search for businesses, gather specific business insights (e.g., trending food items), list business categories, and more.

Yelp offers an official MCP server here. You can also access MCP servers for Yelp via 3rd-party integration providers, like Merge.

How can I use Yelp’s MCP server?

• Local lead discovery and prospect list building: Find high-intent businesses by category and geography (e.g., “plumbers in Austin” or “IT services near SoHo”), then push results into a CRM or outbound tool

• Location intelligence for sales territory planning: Estimate density and distribution of target business types across neighborhoods to prioritize where to sell, open a new location, or run a local campaign
  

• Competitive benchmarking for multi-location operators: Track competitor ratings, review volume, price tiers, and category positioning across markets to inform pricing, positioning, and expansion strategy

• Vendor and partner sourcing (procurement): Identify and shortlist vendors (caterers, cleaning services, agencies, contractors, etc.) with filters like rating thresholds, volume of reviews, and distance

• Customer support and issue triage for a brand’s locations: Monitor reviews for specific locations, detect spikes in negative sentiment, and route issues to the right regional operator or support queue (you can even pair with auto-generated response drafts)

What are some popular tools for Yelp’s MCP server?

Here are commonly-used tools across data types:

Businesses:

• <code class="blog_inline-code">search_businesses_by_phone</code>
• <code class="blog_inline-code">get_business</code>
• <code class="blog_inline-code">match_business</code>
• <code class="blog_inline-code">get_business_insights</code>

Categories:

• <code class="blog_inline-code">search_businesses</code>
• <code class="blog_inline-code">list_categories</code>
• <code class="blog_inline-code">get_category</code>

Reviews

• <code class="blog_inline-code">get_review_highlights</code>
• <code class="blog_inline-code">get_reviews</code>

What makes Merge Agent Handler’s Yelp MCP server better than alternative Yelp MCP servers?

Merge Agent Handler provides infrastructure that manages the full lifecycle of AI agent tool usage across connectors.

• Secure authentication and credential management: Merge handles connector authentication flows and credential storage so agents can safely access external systems without developers building custom auth infrastructure
  

• Enterprise-grade security with data loss protection (DLP): The platform scans tool inputs and outputs for sensitive information and can block or redact data based on configured rules. This prevents misuse of sensitive data when agents interact with external tools
  

• Real-time observability and activity logging: Every tool call and underlying API request can be tracked through detailed logs. These logs are fully searchable, allowing teams to audit behavior, debug agents, and monitor tool usage
  

• Evaluation and testing framework: The Evaluation Suite allows teams to validate tool outputs against expected results before deploying agent workflows to production

Can I set custom security rules for Yelp tool calls in Merge Agent Handler?

Yes, Merge Agent Handler includes a security gateway with DLP that scans tool inputs and responses for sensitive information and applies security policies configured in the platform. 

These rules can block, redact, or mask sensitive data fields before the agent receives or transmits the data.

Here are some examples:

• Block returning personal data from reviews: If a Yelp review contains an email, phone number, or address, mask or redact it in the tool output before the agent sees it
  

• Hard-limit bulk pulls: Block (or cap) any Yelp search that tries to fetch an unusually large number of businesses or reviews in one run to reduce data hoovering and misuse
  

• Allowlist geographies: Only allow searches within approved cities, states, or radius limits (e.g., “within 10 miles of NYC”), and block everything else to prevent broad scraping behavior
  

• Category allowlist / denylist: Only allow specific Yelp categories relevant to the workflow (for example, “restaurants” for a food-delivery agent), and block sensitive or irrelevant categories
  

• Keyword denylist in queries: Block searches containing sensitive keywords (for example, “escort”, “weapons”, “fake IDs”) or other policy-prohibited intents

How can I start using Merge Agent Handler’s Yelp MCP server?

You can take the following steps:

1. Create an Agent Handler account.  Then grab your Agent Handler API key from the dashboard. This API key is what your MCP client uses to authenticate to the Agent Handler MCP endpoint.

2. Create a Tool Pack for your Yelp workflow (e.g., “Local business search”). Tool Packs define which connectors and tools the agent is allowed to call.

3. Add the Yelp connector to that Tool Pack. Only select the specific Yelp tools you want exposed (e.g., business search).

4. Create a Registered User (or use an existing one). This is for the end user or service account your agent will act on behalf of. Registered Users are the identity boundary that scopes credentials and audit logs.

5. Authenticate Yelp for that Registered User (or set up shared auth, if you want one org-level Yelp credential reused across users). In practice, this is typically done via Merge Link in your product so end users can connect without you handling credentials directly.

6. Connect your MCP client to the Agent Handler MCP endpoint. Use the Tool Pack and Registered User, and include your Agent Handler API key as a bearer token in the Authorization header. Your client will then be able to list_tools and call_tool for the Yelp tools in that Tool Pack.

7. Test and monitor by running a few real prompts. Then use the fully-searchable logs (and optionally rules/alerts) to verify the tool calls and outputs look right before rolling it out broadly.