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How to Use the Birdeye MCP in Mastra AI

Build complex customer support workflows in Mastra AI using Birdeye tools for automated review management.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Birdeye MCP to Mastra AI

Create your Vinkius account to connect Birdeye to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Automate workflows with the Birdeye MCP Server

Create a Mastra AI agent that triggers `checkin_customer` after a specific event occurs. It handles the manual work so your team doesn't have to. Define conditional branches to decide when to use `reply_to_review`. If a review score drops below a threshold, the agent takes over.

Sync contacts within your Mastra AI agent

Deploy `list_contacts` to keep your CRM data in sync with your support logs. It functions as a source of truth for your agent's decision-making process. Pull specific details with `get_contact` when the agent needs to verify a customer identity. The workflow engine manages the retry logic if the network blips.

Monitor locations using Mastra AI

Use `list_locations` to scan for new feedback across your business footprint. Your agent can run this on a schedule to stay updated. Get a high-level view with `get_review_summary` to detect patterns. You can set the agent to alert your team if the volume of negative reviews spikes.

Setup guide

Set up Birdeye MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Birdeye tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "birdeye-mcp-client",
  servers: {
    "birdeye-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Birdeye Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Birdeye tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Birdeye transactions"
);
console.log(result.text);

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Birdeye MCP in Mastra AI

Absolutely. Just add the `checkin_customer` tool to your agent's toolset and define the execution conditions in your workflow file.
Mastra AI handles the backoff logic natively. If a tool call fails, the framework attempts the operation again based on your settings.
You can select which tools to expose when you initialize the client. This keeps your agent focused on the specific tasks you need.
Use `get_survey_responses` to feed data into your agent. It parses the text and can decide whether to escalate the issue or close the ticket.
Data is scoped to your session and never leaves your environment. We rely on strict endpoint tokens to keep your customer records isolated.

Start using the Birdeye MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Birdeye. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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