Bring Reputation Management
to Vercel AI SDK
Learn how to connect Birdeye to Vercel AI SDK and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Birdeye MCP Server?
Connect your Birdeye account to any AI agent and take full control of your online reputation management and customer experience workflows through natural conversation.
What you can do
- Review Orchestration — List and manage customer reviews across multiple platforms (Google, Facebook, etc.) programmatically, retrieving detailed high-fidelity comments and ratings in real-time
- Automated Check-ins — Programmatically trigger review requests (check-ins) via SMS or Email to coordinate high-fidelity feedback collection from your recent visitors
- Sentiment Intelligence — Access complete customer profiles and retrieve detailed sentiment history to maintain a perfectly coordinated overview of your brand health
- Survey & Feedback Architecture — Programmatically dispatch custom surveys to specific customers and monitor their high-fidelity responses directly through your agent
- Multi-Location Visibility — Retrieve complete directories of all your business branches and locations to coordinate your organizational reputation programmatically
How it works
1. Subscribe to this server
2. Retrieve your API Key and Business ID (bid) from your Birdeye dashboard (Settings > Integrations > API)
3. Start managing your customer experience from Claude, Cursor, or any MCP client
No more manual logging into individual review sites or missing critical feedback. Your AI acts as your dedicated reputation manager and customer success coordinator.
Who is this for?
- Marketing Managers — instantly retrieve high-level review summaries and monitor brand sentiment using natural language commands
- Customer Success Teams — automate the dispatch of review requests and track customer satisfaction without leaving your workspace
- Multi-Location Owners — monitor reputation performance across all branches and coordinate surveys through simple AI queries
Built-in capabilities (6)
Add a new customer profile
Trigger a review request (Check-in)
Get full customer profile
List all business locations
List customer reviews
Send a custom survey to a customer
Why Vercel AI SDK?
The Vercel AI SDK gives every Birdeye tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Birdeye integration everywhere
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Built-in streaming UI primitives let you display Birdeye tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Birdeye in Vercel AI SDK
Birdeye and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Birdeye to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Birdeye in Vercel AI SDK
The Birdeye 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Birdeye for Vercel AI SDK
Every tool call from Vercel AI SDK to the Birdeye MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Birdeye API Key and Business ID?
Log in to your account, navigate to Settings > Integrations > API, and you will find your API Key and the Business ID (bid).
Can I request a review via AI?
Yes! The customer_checkin tool allows your agent to record a customer visit and automatically send a review request via their preferred channel.
How do I check review ratings programmatically?
Use the list_reviews tool and provide an optional rating filter (1-5) to retrieve specific categories of feedback directly from the platform.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp