CoderPad MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CoderPad 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 CoderPad, 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 CoderPad MCP Server
Connect your CoderPad account to any AI agent and take full control of your technical hiring process through natural conversation. Streamline how you prepare, conduct, and review technical interviews natively.
The Vercel AI SDK gives every CoderPad tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Pad Management — Create and list live collaborative coding pads for technical interviews natively
- Session Intelligence — Access detailed information for specific pads, including the current code contents and status flawlessly
- Event Tracking — Retrieve a play-by-play log of all actions within an interview session, including typing and execution flawlessly
- Question Logistics — List and review available interview questions from your organization's question bank securely
- Team Management — List all users and interviewers within your organization to manage access flawlessly
- integrated Visibility — Retrieve detailed pad metadata including titles, languages, and candidate names directly within your workspace
The CoderPad MCP Server exposes 8 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 CoderPad to Vercel AI SDK via MCP
Follow these steps to integrate the CoderPad 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 8 tools from CoderPad and passes them to the LLM
Why Use Vercel AI SDK with the CoderPad MCP Server
Vercel AI SDK provides unique advantages when paired with CoderPad 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 CoderPad integration everywhere
Built-in streaming UI primitives let you display CoderPad 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
CoderPad + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CoderPad MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CoderPad in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CoderPad tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CoderPad capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CoderPad through natural language queries
CoderPad MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect CoderPad to Vercel AI SDK via MCP:
create_new_interview_pad
Create a new live collaborative coding pad
get_coderpad_usage_history
Retrieve a history of pad usage and quota consumption
get_my_coderpad_profile
Retrieve information about the authenticated user
get_pad_event_log
Retrieve a play-by-play log of all actions in a specific pad
get_pad_session_details
Get detailed information for a specific pad, including current code contents
list_coderpad_org_users
List all users and interviewers in the organization account
list_coderpad_questions
List available interview questions from the question bank
list_coderpad_sessions
List all technical interview pads (sessions)
Example Prompts for CoderPad in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CoderPad immediately.
"List all my CoderPad sessions from this week."
"Create a new Python pad for 'Junior Engineer Interview'."
"Show me the last 5 questions in my question bank."
Troubleshooting CoderPad MCP Server with Vercel AI SDK
Common issues when connecting CoderPad to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCoderPad + Vercel AI SDK FAQ
Common questions about integrating CoderPad 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 CoderPad 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 CoderPad to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.