Qualified.io MCP Server for LlamaIndexGive LlamaIndex instant access to 20 tools to Archive Assessment, Cancel Invitation, Create Assessment, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Qualified.io as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Qualified.io MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 20 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Qualified.io. "
"You have 20 tools available."
),
)
response = await agent.run(
"What tools are available in Qualified.io?"
)
print(response)
asyncio.run(main())
* 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.
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.
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 LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 20 Qualified.io tools available for LlamaIndex
When LlamaIndex connects to Qualified.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning technical-assessment, coding-tests, hiring-automation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Archive assessment on Qualified.io
Archive an assessment
Cancel invitation on Qualified.io
Cancel an assessment invitation
Create assessment on Qualified.io
Create a new assessment
Create assessment result review on Qualified.io
Create a review for an assessment result
Get assessment on Qualified.io
Retrieve a specific assessment
Get assessment result on Qualified.io
Retrieve a specific assessment result
Get assessment result exhibit on Qualified.io
Retrieve streamlined exhibit data for an assessment result
Get challenge on Qualified.io
Retrieve a specific challenge
Invite candidates on Qualified.io
Invite candidates to take an assessment
Invite candidates via cohort on Qualified.io
Invite candidates via a cohort
List assessment cohorts on Qualified.io
List assessment cohorts
List assessment results on Qualified.io
List assessment results
List assessments on Qualified.io
List assessments
List challenges on Qualified.io
List challenges
Publish assessment on Qualified.io
Publish an assessment
Schedule retry assessment result on Qualified.io
Schedule a retry (reopen/retake) for an assessment result
Terminate assessment result on Qualified.io
Terminate an assessment result
Unarchive assessment on Qualified.io
Unarchive an assessment
Unpublish assessment on Qualified.io
Unpublish an assessment
Update assessment result review on Qualified.io
Update a review for an assessment result
Connect Qualified.io to LlamaIndex via MCP
Follow these steps to wire Qualified.io into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Qualified.io MCP Server
LlamaIndex provides unique advantages when paired with Qualified.io through the Model Context Protocol.
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
Qualified.io + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Qualified.io MCP Server delivers measurable value.
Hybrid search: combine Qualified.io real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Qualified.io to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Qualified.io for fresh data
Analytical workflows: chain Qualified.io queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Qualified.io in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Qualified.io to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpQualified.io + LlamaIndex FAQ
Common questions about integrating Qualified.io MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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