GatherUp MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GatherUp 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 GatherUp, 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 GatherUp MCP Server
Connect your GatherUp account to any AI agent to automate your review management and customer feedback workflows through the Model Context Protocol (MCP). GatherUp is a powerful platform that helps businesses monitor reputation, collect 1st-party feedback, and showcase 3rd-party reviews from sites like Google and Facebook. This MCP server enables you to track review streams, reply to customers, and trigger automated review requests directly through natural conversation.
The Vercel AI SDK gives every GatherUp tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Features
- Business Unit Oversight — List all business locations and retrieve high-level configuration metadata for each unit.
- Feedback Management — Access and retrieve first-party feedback left directly by customers via your GatherUp surveys.
- Online Review Tracking — Monitor third-party reviews from Google, Facebook, Yelp, and more in a centralized feed.
- Real-time Interaction — Send replies to both internal feedback and supported external reviews directly from your chat interface.
- Review Request Automation — Trigger new review invites (email/SMS) to specific customers to boost your reputation.
- Contact Management — Add and sync customer profiles to specific business locations programmatically.
- Reputation Metrics — Fetch high-level statistics and sentiment analysis for any business location instantly.
- API Health Monitoring — Verify your connection to the GatherUp v2 API environment seamlessly.
The GatherUp MCP Server exposes 12 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 GatherUp to Vercel AI SDK via MCP
Follow these steps to integrate the GatherUp 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 12 tools from GatherUp and passes them to the LLM
Why Use Vercel AI SDK with the GatherUp MCP Server
Vercel AI SDK provides unique advantages when paired with GatherUp 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 GatherUp integration everywhere
Built-in streaming UI primitives let you display GatherUp 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
GatherUp + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the GatherUp MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query GatherUp in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate GatherUp tools and return structured JSON responses to any frontend
Chatbots with tool use: embed GatherUp capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with GatherUp through natural language queries
GatherUp MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect GatherUp to Vercel AI SDK via MCP:
add_new_customer
Sync a customer
get_account_info
Get user identity
get_review_metrics
Get location stats
list_business_locations
List business units
list_customer_contacts
List customers
list_internal_feedback
List direct feedback
list_online_reviews
List external reviews
reply_to_feedback
Reply to internal feedback
reply_to_online_review
g. Google or Facebook). Reply to external review
search_all_reviews
Search all feedback
send_review_invite
Request a review
verify_api_connection
Check connection
Example Prompts for GatherUp in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GatherUp immediately.
"List all my business locations in GatherUp."
"Show me the 5 most recent Google reviews for 'Downtown Cafe' (ID: biz_123)."
"Send a review request to customer 'John Doe' (ID: cust_987)."
Troubleshooting GatherUp MCP Server with Vercel AI SDK
Common issues when connecting GatherUp to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGatherUp + Vercel AI SDK FAQ
Common questions about integrating GatherUp 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 GatherUp 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 GatherUp to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.