Howuku 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 Howuku 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 Howuku, 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 Howuku MCP Server
Empower your AI agents to analyze user behavior on your websites. This MCP server connects to Howuku (now part of VWO) to list projects, retrieve session recordings, view heatmaps, and monitor user feedback and surveys. Perfect for UX researchers and product managers.
The Vercel AI SDK gives every Howuku 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.
The Howuku 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 Howuku to Vercel AI SDK via MCP
Follow these steps to integrate the Howuku 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 Howuku and passes them to the LLM
Why Use Vercel AI SDK with the Howuku MCP Server
Vercel AI SDK provides unique advantages when paired with Howuku 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 Howuku integration everywhere
Built-in streaming UI primitives let you display Howuku 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
Howuku + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Howuku MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Howuku in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Howuku tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Howuku capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Howuku through natural language queries
Howuku MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Howuku to Vercel AI SDK via MCP:
get_me
Gets current authenticated user info
get_project
Retrieves details for a specific project
list_events
Lists custom tracking events for a project
list_feedback
Lists visual feedback items for a project
list_funnels
Lists conversion funnels for a project
list_heatmaps
Lists heatmaps for a project
list_organizations
Lists organizations associated with your account
list_projects
Lists Howuku projects (sites)
list_recordings
Lists session recordings for a project
list_surveys
Lists surveys for a project
Example Prompts for Howuku in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Howuku immediately.
"List all my Howuku projects."
"Show me recent session recordings for project ID 123."
"Check for any new user feedback on my site."
Troubleshooting Howuku MCP Server with Vercel AI SDK
Common issues when connecting Howuku to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHowuku + Vercel AI SDK FAQ
Common questions about integrating Howuku 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 Howuku with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Howuku to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.