ThinkStack MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Add Source, Check Thinkstack Status, Delete Source, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ThinkStack 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 App Connector for Vercel AI SDK
The ThinkStack app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 ThinkStack, 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 ThinkStack MCP Server
Connect your ThinkStack account to any AI agent and manage your chatbots, knowledge bases, and conversations through natural language.
The Vercel AI SDK gives every ThinkStack 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
- Chatbot Management u2014 List and configure all AI chatbots in your account
- Knowledge Base u2014 Add, list, and remove knowledge sources (URLs, documents) for any chatbot
- Live Queries u2014 Send messages to your chatbots and receive AI-generated responses in real time
- Conversation History u2014 Review all chat sessions with full message history and user metadata
- Actions & Webhooks u2014 View all configured REST API actions for your chatbots
The ThinkStack 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.
All 10 ThinkStack tools available for Vercel AI SDK
When Vercel AI SDK connects to ThinkStack through Vinkius, your AI agent gets direct access to every tool listed below — spanning thinkstack, chatbot-api, ai-manage, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
The content will be crawled and indexed automatically. Add a knowledge source
Verify ThinkStack API connectivity
Remove a knowledge source
Get chatbot details
Get conversation details
List bot actions
List all chatbots
List conversations
List knowledge sources
Query a chatbot
Connect ThinkStack to Vercel AI SDK via MCP
Follow these steps to wire ThinkStack into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the ThinkStack MCP Server
Vercel AI SDK provides unique advantages when paired with ThinkStack 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 ThinkStack integration everywhere
Built-in streaming UI primitives let you display ThinkStack 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
ThinkStack + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ThinkStack MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ThinkStack in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ThinkStack tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ThinkStack capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ThinkStack through natural language queries
Example Prompts for ThinkStack in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ThinkStack immediately.
"List all my chatbots in ThinkStack."
"Ask my Support Bot: 'How do I reset my password?'"
"Add docs.example.com as a knowledge source for my Sales bot."
Troubleshooting ThinkStack MCP Server with Vercel AI SDK
Common issues when connecting ThinkStack to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpThinkStack + Vercel AI SDK FAQ
Common questions about integrating ThinkStack 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.