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Vinkius
LlamaIndexFramework
LlamaIndex
Qualified.io MCP Server

Bring Technical Assessment
to LlamaIndex

Learn how to connect Qualified.io to LlamaIndex and start using 20 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Archive AssessmentCancel InvitationCreate AssessmentCreate Assessment Result ReviewGet AssessmentGet Assessment ResultGet Assessment Result ExhibitGet ChallengeInvite CandidatesInvite Candidates Via CohortList Assessment CohortsList Assessment ResultsList AssessmentsList ChallengesPublish AssessmentSchedule Retry Assessment ResultTerminate Assessment ResultUnarchive AssessmentUnpublish AssessmentUpdate Assessment Result Review

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Qualified.io

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

  1. Subscribe to this server
  2. Enter your Qualified.io API Key
  3. 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_assessment

Archive an assessment

cancel_invitation

Cancel an assessment invitation

create_assessment

Create a new assessment

create_assessment_result_review

Create a review for an assessment result

get_assessment

Retrieve a specific assessment

get_assessment_result

Retrieve a specific assessment result

get_assessment_result_exhibit

Retrieve streamlined exhibit data for an assessment result

get_challenge

Retrieve a specific challenge

invite_candidates

Invite candidates to take an assessment

invite_candidates_via_cohort

Invite candidates via a cohort

list_assessment_cohorts

List assessment cohorts

list_assessment_results

List assessment results

list_assessments

List assessments

list_challenges

List challenges

publish_assessment

Publish an assessment

schedule_retry_assessment_result

Schedule a retry (reopen/retake) for an assessment result

terminate_assessment_result

Terminate an assessment result

unarchive_assessment

Unarchive an assessment

unpublish_assessment

Unpublish an assessment

update_assessment_result_review

Update a review for an assessment result

Why LlamaIndex?

LlamaIndex agents combine Qualified.io tool responses with indexed documents for comprehensive, grounded answers. Connect 20 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • Data-first architecture: LlamaIndex agents combine Qualified.io tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain Qualified.io tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query Qualified.io, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what Qualified.io tools were called, what data was returned, and how it influenced the final answer

L
See it in action

Qualified.io in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Qualified.io and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Qualified.io to LlamaIndex 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Qualified.io in LlamaIndex

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 LlamaIndex 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.

Qualified.io
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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

The Vinkius Advantage

How Vinkius secures Qualified.io for LlamaIndex

Every tool call from LlamaIndex to the Qualified.io MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Qualified.io tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

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