Qualified.io MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 20 tools to Archive Assessment, Cancel Invitation, Create Assessment, and more

Name: Qualified.io
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Qualified.io MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 20 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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="Qualified.io Assistant",
            instructions=(
                "You help users interact with Qualified.io. "
                "You have access to 20 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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* 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 Qualified.io MCP Server

Connect your Qualified.io account to any AI agent to streamline your technical recruitment and engineering assessment workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 20 tools from Qualified.io through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Qualified.io, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Assessment Management — List, create, and manage the lifecycle of your coding assessments, including publishing and archiving.
Candidate Invitations — Send assessment invitations to candidates and manage active invites directly through the API.
Result Tracking — Retrieve detailed assessment results and streamlined exhibits to evaluate candidate performance instantly.
Lifecycle Control — Terminate active results or schedule retries for candidates who need another attempt.
Cohort Analysis — List and organize assessment cohorts to manage groups of candidates effectively.

The Qualified.io MCP Server exposes 20 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

Update a review for an assessment result

Connect Qualified.io to OpenAI Agents SDK via MCP

Follow these steps to wire Qualified.io into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 20 tools from Qualified.io

Why Use OpenAI Agents SDK with the Qualified.io MCP Server

OpenAI Agents SDK provides unique advantages when paired with Qualified.io 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

Qualified.io + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Qualified.io in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Qualified.io immediately.

"List all active assessments and their IDs."

"Invite candidate 'John Doe' (john@example.com) to the 'Senior Fullstack' assessment."

"Show me the performance exhibit for result ID res_555."

Troubleshooting Qualified.io MCP Server with OpenAI Agents SDK

Common issues when connecting Qualified.io to OpenAI Agents SDK through 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.

Qualified.io + OpenAI Agents SDK FAQ

Common questions about integrating Qualified.io 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.