Customers can now access their reviews, surveys, and location data through their favorite LLMs and AI Agents

With the Birdeye MCP Server, users can connect Birdeye through Claude, ChatGPT, Gemini, and other LLMs to build custom integrations, dashboards, and applications directly on top of Birdeye's software. This enables customers to get answers grounded in Birdeye data.

For years, accessing data from a software platform followed the same process: log in, build a filter, export the data, and wait for analysis. By the time teams uncover actionable insights, the data is often already outdated. 

The Birdeye MCP Server changes that. It provides any LLM or AI assistant with secure, real-time access to Birdeye data, enabling users to ask questions in plain English and receive evidence-backed answers based on reviews, ratings, surveys, and location profiles. 

The Birdeye MCP Server is live now, offering a headless alternative to traditional software. This allows businesses to build AI-powered workflows and applications directly on top of Birdeye.

Table of contents

What is MCP?

Model Context Protocol (MCP) is an open standard supported by major AI providers that enables AI assistants and coding tools, such as Claude Code, CodeX, Cursor, and Gemini, to connect to business systems through a single, consistent protocol. 

Think of MCP as a universal connector that provides a standardized way for LLMs or AI assistants to understand, retrieve, and work with trusted business data in real time.

For developers, MCP provides a powerful headless architecture to build custom apps and deep integrations directly on top of Birdeye’s marketing, operations, and customer experience datasets.

For Birdeye customers, it means that their AI assistant of choice can query authorized Birdeye data, including reviews, ratings, surveys, and location information, without requiring manual exports or custom reports. 

For brands operating 50, 500, or even 5,000 locations, this changes the operating model. Teams move from pulling reports and waiting for analysis to asking direct questions:

Why are ratings slipping in the Midwest, and which locations should we fix first?

From dashboards to dialogue

Here’s what that looks like in practice. A regional manager asks:

Why are my ratings down in the Midwest this month?

Through the Birdeye MCP Server, the AI assistant securely connects to Birdeye, analyzes the relevant location data, reviews the underlying customer feedback, and returns a grounded answer that explains: 

  • Which locations experienced the largest rating declines
  • Which review sources contributed most to the drop
  • What issues did customers mention most often 
  • Which locations and operational issues should be prioritized first 

The value isn’t a more sophisticated dashboard or a prettier report. It’s the ability to investigate problems across hundreds or thousands of locations in seconds using natural language and real customer data. 

Early adopters of the Birdeye MCP Server have used it to:

  • Analyze tens of thousands of reviews across Google, Facebook, BBB, and Birdeye
  • Identify the operational issues behind low ratings and NPS detractors
  • Compare customer sentiment across sources without switching between platforms 
  • Uncover location-level performance gaps across enterprise networks
  • Build rating-improvement plans based on actual customer feedback rather than generic best practices 

What’s available today in the Birdeye MCP Server

The Birdeye MCP Server is now live, featuring six secure tools that give AI assistants access to the reputation and customer feedback data.

ToolWhat it does
Business InfoAccount and location details, scoped to the user’s business access
Review SummaryAggregated ratings and review volume by source
ReviewsFull review text, filterable by date, rating, source, and keyword
Review & Rating TrendsShows how ratings and review volume are changing over time
SurveysProvides access to NPS, CSAT, and custom surveys
Survey ResponsesIndividual responses linked to appointments, employees, and locations
Use your Birdeye credentials to securely connect your favorite coding assistant like Claude Code to build custom applications, automate workflows, and surface real-time insights directly from Birdeye data. 

Built for enterprise control

For enterprise organizations, adopting AI requires more than access. It requires governance, security, and confidence that the right people can access the right data in the right context.  

The Birdeye MCP Server runs on the same enterprise foundation as the rest of the Birdeye platform:

  • Authenticated access: Users connect through Birdeye’s OAuth 2.0 authentication, and every request is verified before any tool runs
  • Scoped access: The connection issues scoped credentials, so an assistant reaches only the data for which the request is authorized
  • Scoped tools, not open access: The MCP Server exposes a defined set of approved Birdeye tools, not unrestricted database access
  • Managed infrastructure: Birdeye hosts and maintains the MCP Server, eliminating the need for customers to build, secure, or manage their own MCP infrastructure. 
  • Human approval for actions: Today’s MCP tools are read-only. As additional capabilities are introduced, organizations can require user confirmation before any action is taken. 

What’s coming next

Today’s release brings MCP access to reviews, ratings, and surveys. Next, Birdeye plans to expand MCP access across the platform, enabling teams to interact with more of their customer experience data through the AI assistants they already use. 

Planned areas include:

  • Listings & Search AI: Listing accuracy, AI-search visibility, citations, rankings, and location-level search performance 
  • Social & Ticketing: Social posts, conversations, campaign performance, tickets, and service workflows
  • Business Intelligence & Analytics: Advanced reporting, NPS trends, and deeper location-level performance insights
  • Competitor Intelligence & Insight AI: Competitive benchmarks, experience scores, and AI-powered recommendations 

The goal is simple: make every major Birdeye product area available through governed AI access, so teams can ask, investigate, and act across locations in a single conversation.

Get started

The way teams interact with business software is evolving from dashboards and reports to conversations powered by trusted data. With the Birdeye MCP Server, organizations can bring that experience to the customer insights they rely on every day. 

The Birdeye MCP Server is available now. Contact your Birdeye account team to get started.

Birdeye builds AI agents for multi-location brands — trusted by the largest multi-location brands globally to improve visibility, convert demand, and deliver a consistent customer experience at every location.