Introducing the Birdeye MCP Server
Customers can now connect their preferred AI assistants and MCP clients to 30 tools across 11 Birdeye product areas, including Reviews, Surveys, Listings, Search AI, Social, Ticketing, Competitors, and Insights AI.
With the Birdeye MCP Server, customers can connect Claude, ChatGPT, Gemini, and other compatible MCP clients to 30 tools across 11 Birdeye product areas. Teams can ask questions, build custom dashboards, and create applications grounded in their authorized 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 By the time teams uncover actionable insights, the data is often already outdated.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 gives supported AI assistants secure access to authorized Birdeye data, enabling users to ask questions in plain English and receive grounded answers across reviews, surveys, listings, Search AI, social, ticketing, competitors, Insights AI, and more.
The Birdeye MCP Server provides a headless access layer for teams that want to use Birdeye data in AI assistants, internal applications, custom dashboards, and analytics workflows.
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 a supported AI assistant can query authorized data across Reviews, Surveys, Listings, Search AI, Social, Ticketing, Competitors, Insights AI, and other available Birdeye product areas without requiring repeated 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 now provides 30 tools across 11 Birdeye product areas.
| Product area | Available data |
| Reviews | Review details, rating summaries, review volume, sources, and performance trends |
| Business | Business profiles and location information |
| Surveys | Survey details and individual survey responses |
| Listings | Listing profiles, sync status, listing insights, categories, and product listings |
| Search AI | AI-search citations, visibility, accuracy, sentiment, businesses surfaced, and available runs |
| Social | Social performance across channels, including period-over-period comparisons |
| Ticketing | Ticket data using supported filters |
| Aggregation | Review-monitoring sources configured for the business |
| Competitors | Competitor locations, experience scores, themes, keywords, and performance comparisons |
| Competitor AI | Individual competitor reviews and aggregated rating metrics |
| Insights AI | Experience-score benchmarks, location-level scores, and performance changes over time |
Available results depend on the customer’s Birdeye products, account permissions, and accessible locations.
View the complete list of tools, inputs, and supported parameters in the Birdeye MCP tools overview.
Use your Birdeye credentials to securely connect a supported AI assistant or MCP client and build custom applications, dashboards, and analysis using authorized 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.
More Birdeye data, available through AI
With 30 tools across 11 product areas, teams can now investigate more of their marketing, reputation, and customer experience data through the AI assistants and MCP clients they already use.
Birdeye will continue expanding the MCP Server with additional governed tools and capabilities. Refer to the developer documentation for the latest available tools.
Get started
The Birdeye MCP Server is available now.
Connect using the Birdeye MCP Quickstart, then explore the tools overview to see the data and parameters available across each product area.
Explore the available tools
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.
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