Qualified.io MCP Server for AutoGenGive AutoGen 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

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Qualified.io as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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The Qualified.io MCP Server for AutoGen 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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="qualifiedio_agent",
            tools=tools,
            system_message=(
                "You help users with Qualified.io. "
                "20 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Qualified.io tools. Connect 20 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

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

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 20 tools from Qualified.io automatically

Why Use AutoGen with the Qualified.io MCP Server

AutoGen provides unique advantages when paired with Qualified.io through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Qualified.io tools to solve complex tasks

Role-based architecture lets you assign Qualified.io tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Qualified.io tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Qualified.io tool responses in an isolated environment

Qualified.io + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Qualified.io MCP Server delivers measurable value.

Collaborative analysis: one agent queries Qualified.io while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Qualified.io, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Qualified.io data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Qualified.io responses in a sandboxed execution environment

Example Prompts for Qualified.io in AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

Common issues when connecting Qualified.io to AutoGen through Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Qualified.io + AutoGen FAQ

Common questions about integrating Qualified.io MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Qualified.io tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.