Can I see the code a candidate wrote in a pad through the agent?

Yes! Use the `get_pad_session_details` tool with the pad ID. The agent will return the current `contents` of the pad, allowing you to review the code without opening your browser.

How do I check the full event log for an interview session?

Use the `get_pad_event_log` tool. Your agent will fetch a play-by-play history of all actions in the pad, which is useful for auditing the candidate's process and execution steps.

Where do I find my CoderPad API Key?

Log in to CoderPad, navigate to **Settings**, and select **API**. You can generate and copy your API key from that section.

CoderPad MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: CoderPad
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect CoderPad through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="CoderPad Assistant",
            instructions=(
                "You help users interact with CoderPad. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from CoderPad"
        )
        print(result.final_output)

asyncio.run(main())

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<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OpenAI Agents SDK auto-discovers all 8 tools from CoderPad through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CoderPad, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the CoderPad MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from CoderPad

Why Use OpenAI Agents SDK with the CoderPad MCP Server

OpenAI Agents SDK provides unique advantages when paired with CoderPad through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

CoderPad + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the CoderPad MCP Server delivers measurable value.

Automated workflows: build agents that query CoderPad, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries CoderPad, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through CoderPad tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query CoderPad to resolve tickets, look up records, and update statuses without human intervention

CoderPad MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect CoderPad to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting CoderPad to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

CoderPad + OpenAI Agents SDK FAQ

Common questions about integrating CoderPad MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.