Birdeye MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Birdeye through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Birdeye, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Birdeye tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Birdeye MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Birdeye and passes them to the LLM
Why Use Vercel AI SDK with the Birdeye MCP Server
Vercel AI SDK provides unique advantages when paired with Birdeye through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Birdeye integration everywhere
Built-in streaming UI primitives let you display Birdeye tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Birdeye + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Birdeye MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Birdeye in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Birdeye tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Birdeye capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Birdeye through natural language queries
Birdeye MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Birdeye to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Birdeye to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBirdeye + Vercel AI SDK FAQ
Common questions about integrating Birdeye MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.