Birdeye MCP. Manage reputation and customer feedback from chat.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Birdeye MCP Server manages your reputation and customer experience directly from your AI agent. List customer reviews, trigger surveys, and reply to feedback using a single conversation.
Access contact details, track locations, and get review summaries without switching dashboards. It lets your agent handle your whole customer lifecycle.
What your AI agents can do
Checkin customer
Triggers Birdeye to send an automated review or survey request to a specified customer.
Get business info
Retrieves core operational details for your business account.
Get contact
Pulls specific, detailed information for a single customer contact.
Retrieves total review counts, broken down by the source (Google, Yelp, etc.).
Checks in a customer record to trigger Birdeye's automated review or survey request flow.
Allows the agent to write and submit a response to a specific customer review.
Retrieves lists of customer records or pulls detailed profile information for a single contact.
Lists available surveys and pulls specific customer responses for deeper analysis.
Lists every location managed in your Birdeye account.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
Birdeye MCP Server: 10 Tools for Customer Reputation Management
Manage the entire customer lifecycle—from initial contact to final review—by orchestrating Birdeye's core functions using your AI agent.
019d755dcheckin customer
Triggers Birdeye to send an automated review or survey request to a specified customer.
019d755dget business info
Retrieves core operational details for your business account.
019d755dget contact
Pulls specific, detailed information for a single customer contact.
019d755dget review summary
Generates a count and summary of reviews across all listed sources.
019d755dget survey responses
Fetches the specific responses submitted for a named survey.
019d755dlist contacts
Returns a list of all customer contacts managed in your account.
019d755dlist locations
Returns a list of every physical business location managed by Birdeye.
019d755dlist reviews
Lists the most recent customer reviews received, including source and rating.
019d755dlist surveys
Shows all active surveys configured in your Birdeye account.
019d755dreply to review
Writes and sends a reply to a specific customer review.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Birdeye, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Birdeye MCP Server lets your AI agent handle your whole customer lifecycle. You'll list customer reviews, trigger surveys, and reply to feedback using a single conversation. You can access contact details, track locations, and get review summaries without ever leaving your agent's chat window. Your agent handles everything from review responses to contact details.
Reviews & Reputation Management
Your agent can list the most recent customer reviews, showing the source and rating for each one. It pulls a total review count and a summary of feedback across all sources. You can write and send a reply to any specific customer review. You'll also list all active surveys set up in Birdeye.
If you need to check in a customer record, your agent triggers Birdeye's automated review or survey request flow.
Customer Data & Location Tracking
Your agent pulls a list of every customer contact managed in your account, and it can get detailed information for a single contact. You can list every physical business location Birdeye manages. You'll also get core operational details for your business account.
Survey Analysis
Your agent shows you all available surveys, and you can pull the specific responses submitted for a named survey. This lets you analyze the feedback in depth.
How Birdeye MCP Works
- 1 Subscribe to the server and provide your Birdeye API Key and Business ID.
- 2 Tell your agent what needs doing (e.g., 'Find the contact for John Smith and reply to his review').
- 3 The agent calls the necessary tools (
get_contact, thenreply_to_review) and provides the final outcome in the chat.
The bottom line is you never have to leave the chat interface to manage your customer feedback loop.
Who Is Birdeye MCP For?
This is for the Reputation Manager who spends too much time jumping between dashboards. It's for the Customer Success team that needs to monitor survey results and contact history before they can act. If you're a Marketing Lead who needs review summaries and location data for reports, this is what you need.
Checks recent reviews, summarizes feedback by source, and drafts replies without logging into the Birdeye dashboard.
Uses the server to check in customers to trigger surveys and pulls specific contact details to follow up on poor feedback.
Lists all business locations and retrieves review summaries to build reports on brand performance.
What Changes When You Connect
- Stop bouncing between tabs. You can run
list_reviewsand immediately follow up by callingreply_to_review—all in one agent conversation. This saves clicks and context switching. - Get a holistic view of your brand's health. Use
get_review_summaryto instantly see review counts broken down by source, without manually aggregating data. - Automate the feedback loop. Call
checkin_customerto send out a review or survey request to a customer, and track the status right from your agent's output. - Deep dive into customer history. Use
get_contactto pull specific details on a customer, then uselist_reviewsto see what they've said about your business. - Streamline CX reporting. First, run
list_surveysto see what's available, then useget_survey_responsesto pull the actual feedback for your team. - Track your physical footprint. Use
list_locationsto get a list of all business addresses and useget_business_infoto confirm core account data.
Real-World Use Cases
Responding to a bad review
A customer service agent gets a 2-star review. They ask their agent: 'Reply to this review and find the customer's contact info.' The agent runs reply_to_review and get_contact, sending the apology and getting the necessary profile details to follow up later.
Launching a new survey
The marketing team wants to check the sentiment before launching a new survey. They ask the agent to 'List all surveys' (list_surveys) and then 'get a summary of reviews' (get_review_summary) to compare current sentiment against past data.
Handling a lapsed customer
A customer hasn't visited in months. The sales rep asks the agent to 'Check in the customer' (checkin_customer) to restart the feedback loop, and then 'get the business info' (get_business_info) to verify the correct account details before sending the request.
Reporting on a specific location
The operations manager needs to pull data for a quarterly report. They ask the agent to 'List all locations' (list_locations) and then 'list reviews' for a specific ID, getting all the data points for a single report.
The Tradeoffs
Treating tools as one-offs
A user runs list_contacts to get a list, then has to copy names into a spreadsheet, and then manually cross-reference that list with the data from list_reviews in a separate tab.
→
Instead, ask your agent to 'List the top 10 contacts and check their last review.' The agent runs list_contacts and list_reviews sequentially, giving you the combined data set immediately.
Forgetting to specify the action
A user asks, 'Show me the survey responses.' The agent might just list the surveys (list_surveys) and give them nothing actionable, forcing the user to ask a follow-up question to get the data they really wanted.
→
Be specific. Ask the agent to 'Get the survey responses for survey X.' This triggers get_survey_responses directly, pulling the data you need.
Trying to read raw data only
A user runs list_reviews and gets 50 raw entries. They then have to manually sift through 50 entries to find the 5-star reviews from Google that mention 'speed.'
→
Ask the agent to 'List the last 5 Google reviews and summarize them.' This uses list_reviews combined with get_review_summary to filter and report the most important information.
When It Fits, When It Doesn't
Use this server if your job requires linking customer actions to business performance. You need to move beyond just looking at a list of reviews; you need to act on them. For example, if you need to see if a customer has left a review and then reply to it, use list_reviews followed by reply_to_review. Don't use this if you just need to read a static, single piece of data (e.g., a business name). In that case, a simple API call or a dedicated data lookup tool might be better. If your goal is to track the full customer journey—from contact details to survey completion to review response—this is your toolset.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Birdeye. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Juggling tabs just to track customer feedback is a massive time drain.
Right now, you find a negative review on the Birdeye dashboard. You copy the name and the review text. Then you have to open a second tab to find the customer's contact record, copy that, and finally switch to a third dashboard to draft and submit a response. It's three different systems, and you lose context in the copy-pasting.
With the Birdeye MCP Server, you tell your agent: 'Reply to the review for John Doe and get his contact info.' The agent runs `reply_to_review` and `get_contact` in sequence. You get the action completed and the data pulled, all in the chat. No copies, no tabs.
Birdeye MCP Server: Automate review and contact management
The manual steps that disappear include checking review counts, pulling specific customer details, and manually triggering survey requests. You don't have to log into the Birdeye site to see how many surveys are active or to check a customer's history.
Your agent handles the sequence. It uses `get_review_summary` and `checkin_customer` to manage the entire customer feedback lifecycle. It's not just data retrieval; it's action execution.
Common Questions About Birdeye MCP
How do I use the `list_reviews` tool with Birdeye MCP Server? +
Use list_reviews to pull a list of recent customer reviews. This tool shows you the review content, the source (Google, etc.), and the star rating. You can then follow up by asking to reply_to_review a specific one.
Can I use `checkin_customer` to request surveys? +
Yes. checkin_customer triggers the automated flow in Birdeye. This sends the review or survey request to the customer based on the settings you have configured in your Birdeye account.
What's the difference between `list_contacts` and `get_contact`? +
list_contacts gives you a roster of all customer contacts. get_contact pulls the full, detailed profile for one specific person, giving you the deep data needed for follow-up.
How do I view all my available surveys using Birdeye MCP Server? +
Use list_surveys to see every survey you've set up. If you want to analyze the results, then use get_survey_responses with the specific survey ID.
Do I need to manually enter API keys for `reply_to_review`? +
No. You enter your Birdeye API Key and Business ID once in the server setup. After that, your agent handles the connection and calls reply_to_review for you.
What is the best way to use `get_review_summary` to understand my overall brand sentiment? +
The get_review_summary tool returns counts by source. You can use this data to compare performance metrics across platforms, like seeing how many 5-star reviews you got from Google versus Yelp.
How do I handle errors when calling `list_reviews` or `reply_to_review`? +
If a review ID is invalid or you lack permissions, the server returns a specific error code and message. Your AI client can then read this error and prompt you to fix the input, like correcting a missing review ID.
Does `list_locations` require specific parameters, or can I list all my business sites? +
list_locations requires no parameters. It pulls a comprehensive list of every business location linked to your Birdeye account, allowing your AI agent to know exactly where to focus its efforts.
Can I reply to a review using the agent? +
Yes! Use the reply_to_review tool with the Review ID and your message. If the source allows API replies, your message will be posted to Birdeye instantly.
How do I see the average rating for my business? +
Simply ask the agent to get_review_summary. It will retrieve the overall counts and ratings aggregated across all supported platforms (Google, Facebook, etc.).
Can I trigger a review request for a specific customer? +
Yes. Use the checkin_customer action with the customer's name and email. This will trigger the automated review and survey sequence configured in your Birdeye account.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
More in this category
Dixa
Route customer conversations to the right agent across phone, email, chat, and messaging with intelligent prioritization.
SimplyBook.me
Manage services, providers, and bookings on SimplyBook.me with AI agents.
ClientSuccess
Reduce churn and grow accounts with health scoring, engagement tracking, and success playbooks built for customer success teams.
You might also like
Builder
Automate Builder.io headless CMS workflows — generate content blocks, update models, and orchestrate visual components directly from any AI agent.
StackPath (Edge Computing & CDN API)
Manage edge computing workloads and CDN delivery via StackPath — list stacks, deploy workloads, and purge cached content directly from any AI agent.
NameSilo (Domain Registrar Developer API)
Manage your domain portfolio, DNS records, and registrations directly through NameSilo's developer API.