How to Use the DevSkiller MCP in OpenAI Agents SDK

Q: How do I configure the DevSkiller MCP Server in the OpenAI Agents SDK?

Initialize MCPServerStreamableHttp with your endpoint URL. Pass it via the mcpservers array in your Agent constructor. The SDK handles tool discovery automatically.

Q: Can the OpenAI Agents SDK cache DevSkiller tools?

Yes. Set cacheToolsList=True in your configuration. This stops the agent from refetching the tool definitions on every execution cycle.

Connect DevSkiller to the OpenAI Agents SDK to automate technical candidate screening with built-in guardrails and full tracing.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect DevSkiller MCP to OpenAI Agents SDK

Create your Vinkius account to connect DevSkiller to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup DevSkiller with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate screening with OpenAI Agents SDK

The DevSkiller MCP Server gives your OpenAI agent direct access to your technical assessment pipeline. It auto-discovers endpoints like `invite_candidate_to_test` and `list_available_tests` the moment you pass it to the agent constructor. You build the logic, and the agent handles the API calls. Production deployments need oversight. Because this runs through OpenAI's framework, every `get_candidate_assessment_report` request logs straight to your tracing dashboard. You set the guardrails to ensure agents never send duplicate tests or access unauthorized profiles.

Filter high-scoring developers instantly

The DevSkiller MCP Server lets your agent pull top talent without manual review. Your agent uses `list_high_score_candidates` to find everyone who passed your threshold, then fetches their details with `get_candidate_profile`. It evaluates the raw scores and hands the qualified candidates off to an interview-scheduling agent. You handle the setup fast. Set `cacheToolsList=True` in your Python configuration to skip redundant tool discovery. The MCP connection stays fast, letting your system process hundreds of test results without hitting timeout limits.

Track active test invitations

This MCP integration tracks pending tests in real time. Your agent runs `list_recently_sent_invitations` to see who received an assessment in the last 24 hours. If a candidate asks for an update, the agent calls `search_candidates_by_identity` to find their exact status and responds immediately. You get complete visibility into the hiring funnel. By combining `list_test_invitations` with OpenAI's specialized agent handoffs, you build an MCP system that monitors pending tests and alerts human recruiters when a senior engineer finishes their assessment.

Setup guide

Set up DevSkiller MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all DevSkiller tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives DevSkiller tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate DevSkiller tools and returns structured results. Copy the full example on the right to get started.

agent.py

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

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="DevSkiller Agent",
            instructions="You have access to DevSkiller tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DevSkiller. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect DevSkiller now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DevSkiller MCP in OpenAI Agents SDK

Initialize `MCPServerStreamableHttp` with your endpoint URL. Pass it via the `mcp_servers` array in your Agent constructor. The SDK handles tool discovery automatically.

Yes. Set `cacheToolsList=True` in your configuration. This stops the agent from refetching the tool definitions on every execution cycle.

Every tool invocation logs to your tracing system. You can inspect exact parameters passed to endpoints like `get_account_metadata` during agent runs.

You define guardrails in your agent instructions. The agent reads `list_available_tests` but will only execute invitations for the specific test IDs you authorize.

The server reads candidate emails, names, and assessment scores. Authentication happens via a single endpoint token, keeping your DevSkiller API keys entirely out of the OpenAI environment. The agent only holds data in memory during the active session.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript