Birdeye MCP. Centralize local reputation and feedback tracking.
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Birdeye MCP gives your AI agent full control over local business reputation management. It pulls customer reviews, tracks sentiment history, and manages surveys from across multiple platforms—all without you having to log into Google or Facebook individually.
Need a comprehensive view of how customers feel about your brand? This connector centralizes everything, helping you gather feedback and build foot traffic by automating review requests and profile tracking.
What your AI agents can do
Create customer
Adds a new, unique customer profile record into the system for tracking.
Customer checkin
Triggers an automated review request to a specific customer's contact method.
Get customer details
Retrieves and summarizes the entire history and profile of a single named customer.
Retrieves a complete directory of your organization’s branches and locations.
Gathers detailed comments and star ratings from various online review platforms in real time.
Sends automated check-in requests or custom surveys to recent visitors via email or text message.
Accesses and summarizes a full profile of a specific customer, including their sentiment trend over time.
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Supported MCP Clients
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Birdeye: 6 Tools for Reputation Management
These tools let your agent handle everything from creating customer profiles to listing site-wide reviews and sending out targeted surveys.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Birdeye on Vinkius019dd0c2create customer
Adds a new, unique customer profile record into the system for tracking.
019dd0c2customer checkin
Triggers an automated review request to a specific customer's contact method.
019dd0c2get customer details
Retrieves and summarizes the entire history and profile of a single named customer.
019dd0c2list business locations
Generates a directory listing containing every branch or location tied to your business account.
019dd0c2list reviews
Pulls and organizes customer reviews collected from multiple platforms simultaneously.
019dd0c2trigger survey
Sends a custom-designed survey to a specific customer record for detailed feedback capture.
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Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Manually keeping up with online reviews is a time sink.
Every week, someone has to spend hours logging into Google My Business, then Facebook, then Yelp, just to pull together the latest feedback. They have to copy-paste star ratings and comments into a spreadsheet, manually tagging which location or service the review applied to. It's slow, painful, and often incomplete.
With this MCP, your agent handles that entire process. You simply ask for all reviews across multiple sites, and it delivers structured data right back to you. Your AI acts as one centralized dashboard for every piece of customer feedback.
Getting a full picture with Birdeye's tools.
Before this, if you wanted to see how happy a client was, you had to search by name and hope the details were logged somewhere. If they moved locations or changed their email, that data was often lost or siloed in different systems.
Now, when your agent uses `get_customer_details`, it aggregates all historical activity for that person—their profile, their sentiment, every survey response—into one clean view. You get the full story immediately.
What you can do with this MCP connector
Your AI agent can handle the entire customer experience workflow for your local business. Instead of logging into separate sites to collect reviews or send out surveys, your agent pulls all that data together in one conversation. You ask it to list recent 5-star reviews across Google and Facebook, and it delivers the high-fidelity comments instantly.
The system can also identify specific customers who need a follow-up—it even knows if they've been a client before using get_customer_details. If you find a gap in data, your agent can trigger an automated review request via SMS or email. Because this MCP is hosted on Vinkius, you connect once and gain access to all the tools needed to coordinate reputation programs across every location.
019dd0c2-2033-737b-a89d-d53ad7fc969f 
How Birdeye MCP Works
- 1 First, subscribe to this MCP on Vinkius.
- 2 Next, retrieve your API Key and Business ID (bid) from your Birdeye dashboard settings.
- 3 Finally, use the agent in Claude, Cursor, or any compatible client by giving it a natural language command.
The bottom line is that you manage customer experience entirely through conversation, never having to log into individual review sites again.
Who Is Birdeye MCP For?
Marketing managers and multi-location owners who are tired of manually checking 10 different online directories every morning. Customer success teams need this when they want to automate the feedback loop without leaving their chat workspace.
Uses natural language commands to pull aggregated review summaries and monitor overall brand sentiment across all locations.
Automates the process of sending follow-up surveys or check-in requests to recently served customers.
Coordinates reputation efforts by listing and comparing performance metrics across every branch in a single query.
What Changes When You Connect
- Automate review collection: Use
customer_checkinto send automated requests, ensuring you get fresh feedback right after a visit. This means less manual outreach and more data. - Understand brand health instantly: Access detailed sentiment history for any customer using
get_customer_details. You see if the profile is trending positive or negative without running multiple reports. - Multi-site oversight: Don't check locations one by one. Use
list_business_locationsto pull a complete list of all your branches, letting you manage reputation across the whole organization at once. - Deep feedback loops: Send targeted follow-up questions using
trigger_survey. You can dispatch custom questionnaires only to specific clients and track their responses directly through your agent. - Comprehensive review data: When you need a status report, running
list_reviewspulls all ratings from Google, Facebook, etc., into one place. No more copy-pasting across tabs.
Real-World Use Cases
A new client needs to be tracked
The agent identifies a customer name and triggers create_customer first. Then, it uses get_customer_details immediately after to ensure all necessary contact fields were captured correctly for future use.
Running a quarterly review audit
The manager asks the agent to list reviews across two specific locations using list_business_locations and then runs list_reviews on both sets of data. The results are compiled into a single, comparative report.
Following up with recent visitors
Instead of email marketing, the coordinator uses customer_checkin to send a targeted review request to clients who visited last week. This keeps the feedback loop tight and fresh.
Monitoring high-value accounts
The team needs to check if a VIP client is happy. They run get_customer_details to see their full history, then use trigger_survey to send a specific 'How was your experience?' form.
The Tradeoffs
Manual cross-platform checking
The team logs into Google Business Profile, copies the top reviews; then they open Facebook and repeat the process. This is slow and misses context.
→
Let your agent use list_reviews. It pulls all required review data from multiple platforms programmatically in one query. This saves time and keeps the record unified.
Forgetting new clients
A customer calls, but nobody logs them into the system because they only have a name. The agent can't track their history later.
→
Always start by using create_customer. This ensures the client exists in your records before any service interactions or survey requests happen.
Asking for general sentiment
Just asking, 'How is our reputation?' gives a vague answer. You need specific data to act on.
→
Use list_reviews combined with get_customer_details. This allows the agent to give you targeted insights: e.g., 'Sentiment for Location A dropped 10% this month, primarily due to comments about wait times.'
When It Fits, When It Doesn't
Use this MCP if your primary goal is managing reputation and feedback across multiple digital channels (Google, Facebook, etc.). The core strength here is the ability to gather data from diverse sources—reviews, surveys, profiles—and correlate them. Don't use this if you just need simple appointment scheduling or basic CRM contact storage; those are single-function tools. You also don’t need it if your business model relies on complex inventory tracking, as this MCP is purely focused on the customer journey and brand perception. If you only care about sending one-off emails, a standard email service will do fine. But when the feedback collection becomes part of the core operational workflow, use Birdeye.
Common Questions About Birdeye MCP
How do I use list_reviews to see my best reviews? +
You ask your agent to run list_reviews and specify criteria, like 'show me all 5-star ratings from the last month.' It pulls and organizes the data across platforms automatically.
Can I use trigger_survey for a whole group of clients? +
The tool is designed to send surveys to specific customers. You'll need to first identify those individuals using get_customer_details or create_customer, and then target them one by one.
What if I open a new store? How do I manage it? +
Run list_business_locations. This tool gives you the complete directory, letting you easily pull performance data or initiate reputation campaigns for your brand-new branch.
Does customer_checkin work only via email? +
No. The customer_checkin function supports multiple channels like SMS or Email. You just tell the agent which method you want to use when requesting a review.
What credentials do I need to use the list_business_locations tool? +
You must provide your Birdeye API Key and Business ID (bid) for authentication. These are required parameters that establish which organization's locations you want to query.
If I run get_customer_details for a customer who doesn't exist, what kind of error do I get? +
The tool returns a specific 'Customer Not Found' error code and an empty data object. Your agent can check the status code to handle missing records gracefully.
Are there rate limits when running list_reviews across many locations, and how should I prepare for them? +
Yes, standard API request rate limits apply. To prevent failures, implement an exponential backoff strategy in your agent logic to pause between bulk calls.
When using create_customer, what specific fields can I include when adding a new profile? +
You can populate the customer's name, email address, phone number, and any other standard contact details. The system validates these against available Birdeye data types.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.