Ada MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Ada through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Ada, 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 Ada MCP Server
Connect your Ada account to your AI agent to unlock advanced customer service automation. From monitoring real-time conversations to managing your knowledge base and syncing user metadata, your agent handles conversational AI orchestration through natural language.
The Vercel AI SDK gives every Ada tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 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
- Conversation Oversight — List and retrieve details of active or past support conversations to identify trends
- End User Management — Manage user profiles and sync metadata (metavariables) between Ada and your external systems
- Knowledge Management — Create, update, and list articles in your knowledge base to help your AI agent provide better answers
- Real-time Analytics — Retrieve insights on automated resolution rates and agent handoff patterns
- Compliance Support — Manage data privacy requests and conversation retention directly from your chat interface
The Ada MCP Server exposes 4 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 Ada to Vercel AI SDK via MCP
Follow these steps to integrate the Ada 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 4 tools from Ada and passes them to the LLM
Why Use Vercel AI SDK with the Ada MCP Server
Vercel AI SDK provides unique advantages when paired with Ada 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 Ada integration everywhere
Built-in streaming UI primitives let you display Ada 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
Ada + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Ada MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Ada in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Ada tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Ada capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Ada through natural language queries
Ada MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect Ada to Vercel AI SDK via MCP:
create_article
Needs title and text content. Add a new text article to the Ada knowledge base to immediately improve AI bot responses
get_end_user
Requires the End User ID. Retrieve profile information and custom metavariables for a specific Ada end user
list_articles
Retrieve the catalog of help articles used by the Ada AI agent to answer customer queries
list_conversations
Retrieve active and past customer support conversations handled by the Ada bot
Example Prompts for Ada in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Ada immediately.
"Show me the last 5 conversations handled by Ada."
Troubleshooting Ada MCP Server with Vercel AI SDK
Common issues when connecting Ada to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAda + Vercel AI SDK FAQ
Common questions about integrating Ada 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 Ada 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 Ada to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.