Medallia 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 Medallia 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 Medallia, 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 Medallia MCP Server
Connect your Medallia experience management instance to any AI agent and take full control of your customer feedback and CX programs through natural conversation.
The Vercel AI SDK gives every Medallia 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
- Survey Management — List all customer surveys and fetch detailed configuration metadata
- Feedback Monitoring — Retrieve and search survey responses to understand customer sentiment in real-time
- Program Oversight — List and inspect experience management programs and their statuses
- Alert Management — Monitor and retrieve details for alerts triggered by specific customer feedback
- User Inventory — List authorized users and manage access within your Medallia instance
The Medallia 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 Medallia to Vercel AI SDK via MCP
Follow these steps to integrate the Medallia 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 Medallia and passes them to the LLM
Why Use Vercel AI SDK with the Medallia MCP Server
Vercel AI SDK provides unique advantages when paired with Medallia 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 Medallia integration everywhere
Built-in streaming UI primitives let you display Medallia 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
Medallia + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Medallia MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Medallia in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Medallia tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Medallia capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Medallia through natural language queries
Medallia MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Medallia to Vercel AI SDK via MCP:
get_alert
Get details for a specific alert
get_program_details
Get details for a specific program
get_response
Get details for a specific response
get_survey
Get details for a specific survey
list_alerts
List feedback alerts
list_programs
List experience management programs
list_responses
List survey responses
list_surveys
List all customer surveys
list_users
List Medallia users
search_responses
Search survey responses by term
Example Prompts for Medallia in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Medallia immediately.
"List all active surveys in Medallia."
"Search responses for the term 'disappointed'."
"Show recent alerts from high-priority programs."
Troubleshooting Medallia MCP Server with Vercel AI SDK
Common issues when connecting Medallia to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMedallia + Vercel AI SDK FAQ
Common questions about integrating Medallia 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 Medallia 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 Medallia to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.