Integrate Birdeye with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCheckin customer on Birdeye
Check-in a customer to trigger review/survey requests
Get business info on Birdeye
Retrieve core business information
Get contact on Birdeye
Get specific contact details
Get review summary on Birdeye
Get a summary of review counts by source
Get survey responses on Birdeye
Get responses for a specific survey
List contacts on Birdeye
List customer contacts
List locations on Birdeye
List all business locations
List reviews on Birdeye
List customer reviews
List surveys on Birdeye
List all surveys
Reply to review on Birdeye
Reply to a specific customer review
Security & Code Integrity Audit
Every tool in the Birdeye MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
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.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
How Chatbots Interact with Birdeye
The Birdeye integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
ChatGPT reputation management Automation
Integrate Birdeye for AI-driven reputation management management. The MCP server structures the outputs required for Claude to analyze customer support data.
Seamless review management Integration
The Birdeye toolkit provides structured tools for review management. It enables conversational interfaces like Claude Code to query and modify data within your customer support infrastructure.
Birdeye. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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