Bring Technical Assessment
to CrewAI
Learn how to connect Qualified.io to CrewAI 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 CrewAI?
When paired with CrewAI, Qualified.io becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Qualified.io tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Qualified.io in CrewAI
Qualified.io and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Qualified.io to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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