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 Pydantic AI 8 tools — connect in under 2 minutes

Name: CoderPad
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect CoderPad through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to CoderPad "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in CoderPad?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every CoderPad tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the CoderPad MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from CoderPad with type-safe schemas

Why Use Pydantic AI with the CoderPad MCP Server

Pydantic AI provides unique advantages when paired with CoderPad through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your CoderPad integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your CoderPad connection logic from agent behavior for testable, maintainable code

CoderPad + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the CoderPad MCP Server delivers measurable value.

Type-safe data pipelines: query CoderPad with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple CoderPad tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query CoderPad and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock CoderPad responses and write comprehensive agent tests

CoderPad MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect CoderPad to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting CoderPad to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

CoderPad + Pydantic AI FAQ

Common questions about integrating CoderPad MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your CoderPad MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.