Bring Technical Assessment
to OpenAI Agents SDK
Learn how to connect Qualified.io to OpenAI Agents SDK and start using 20 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Qualified.io API Key
- Start managing your technical hiring pipeline from Claude, Cursor, or any MCP-compatible client
No more jumping between your ATS and assessment platform to check if a candidate has finished their test. Your AI acts as a technical recruiting coordinator.
Who is this for?
- Engineering Managers — quickly review candidate scores and code exhibits without leaving the dev environment.
- Technical Recruiters — automate the process of inviting candidates and checking status updates.
- Talent Operations — manage large cohorts and assessment versions with simple natural language commands.
Built-in capabilities (20)
Archive an assessment
Cancel an assessment invitation
Create a new assessment
Create a review for an assessment result
Retrieve a specific assessment
Retrieve a specific assessment result
Retrieve streamlined exhibit data for an assessment result
Retrieve a specific challenge
Invite candidates to take an assessment
Invite candidates via a cohort
List assessment cohorts
List assessment results
List assessments
List challenges
Publish an assessment
Schedule a retry (reopen/retake) for an assessment result
Terminate an assessment result
Unarchive an assessment
Unpublish an assessment
Update a review for an assessment result
Why OpenAI Agents SDK?
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.
- —
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 in OpenAI Agents SDK
Qualified.io and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Qualified.io to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Qualified.io in OpenAI Agents SDK
The Qualified.io 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. All 20 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Qualified.io for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Qualified.io MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see a summary of a candidate's test performance without pulling the full raw data?
Yes. Use the get_assessment_result_exhibit tool. It provides a streamlined view of the candidate's performance, making it easier for your AI to summarize the results for you.
How do I invite multiple candidates to a specific assessment at once?
You can use the invite_candidates tool. Simply provide the assessment ID and the candidate data payload, and the server will handle the invitations through the Qualified.io API.
Is it possible to reopen a test for a candidate who had technical issues?
Yes, you can use the schedule_retry_assessment_result tool with the specific Result ID to allow the candidate to retake or continue their assessment.
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.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
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.
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