Birdeye MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Birdeye through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"birdeye": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Birdeye Agent",
instructions:
"You help users interact with Birdeye " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Birdeye?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Birdeye MCP Server
Connect your Birdeye account to any AI agent and orchestrate your customer experience and reputation management workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Birdeye tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Review Management — List and retrieve detailed customer reviews and fetch review summaries by source.
- Customer Interaction — Reply to reviews directly from the agent to maintain high engagement.
- CX Automation — Trigger customer check-ins to automatically send review or survey requests.
- Survey Insights — List available surveys and retrieve customer responses for analysis.
- Contact Oversight — Manage your business contacts and retrieve detailed profile information.
- Location Tracking — Access and list all business locations managed within your account.
The Birdeye MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Birdeye to Mastra AI via MCP
Follow these steps to integrate the Birdeye MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Birdeye via MCP
Why Use Mastra AI with the Birdeye MCP Server
Mastra AI provides unique advantages when paired with Birdeye through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Birdeye without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Birdeye tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Birdeye + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Birdeye MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Birdeye, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Birdeye as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Birdeye on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Birdeye tools alongside other MCP servers
Birdeye MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Birdeye to Mastra AI via MCP:
checkin_customer
Check-in a customer to trigger review/survey requests
get_business_info
Retrieve core business information
get_contact
Get specific contact details
get_review_summary
Get a summary of review counts by source
get_survey_responses
Get responses for a specific survey
list_contacts
List customer contacts
list_locations
List all business locations
list_reviews
List customer reviews
list_surveys
List all surveys
reply_to_review
Reply to a specific customer review
Example Prompts for Birdeye in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Birdeye immediately.
"List the last 5 reviews received on Birdeye."
"Check in a customer: John Doe, john@example.com."
"Show my survey responses for survey surv_123."
Troubleshooting Birdeye MCP Server with Mastra AI
Common issues when connecting Birdeye to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBirdeye + Mastra AI FAQ
Common questions about integrating Birdeye MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Birdeye with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Birdeye to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.