DevSkiller MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add DevSkiller as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="devskiller_agent",
tools=tools,
system_message=(
"You help users with DevSkiller. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 DevSkiller MCP Server
Integrate DevSkiller, the technical screening and talent assessment platform, directly into your AI workflow. Manage your candidate pipeline, send test invitations, and retrieve detailed assessment reports and skill scores using natural language.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use DevSkiller tools. Connect 10 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
- Candidate Oversight — List and search for candidates in your database and monitor their current assessment status.
- Test Management — Access your library of available technical tests, coding tasks, and quizzes.
- Invitation Tracking — Monitor sent test invitations and track candidate progress in real-time.
- Performance Analytics — Retrieve full assessment reports with granular skill scores and performance metrics.
The DevSkiller MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect DevSkiller to AutoGen via MCP
Follow these steps to integrate the DevSkiller MCP Server with AutoGen.
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 10 tools from DevSkiller automatically
Why Use AutoGen with the DevSkiller MCP Server
AutoGen provides unique advantages when paired with DevSkiller through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use DevSkiller tools to solve complex tasks
Role-based architecture lets you assign DevSkiller 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 DevSkiller tool calls
Code execution sandbox: AutoGen agents can write and run code that processes DevSkiller tool responses in an isolated environment
DevSkiller + AutoGen Use Cases
Practical scenarios where AutoGen combined with the DevSkiller MCP Server delivers measurable value.
Collaborative analysis: one agent queries DevSkiller while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from DevSkiller, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using DevSkiller data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process DevSkiller responses in a sandboxed execution environment
DevSkiller MCP Tools for AutoGen (10)
These 10 tools become available when you connect DevSkiller to AutoGen via MCP:
get_account_metadata
Retrieve metadata and limits for your DevSkiller account
get_candidate_assessment_report
Retrieve the full assessment report for a candidate
get_candidate_profile
Get detailed information for a specific candidate
invite_candidate_to_test
Send a new test invitation to a candidate
list_assessment_candidates
List all candidates in your DevSkiller account
list_available_tests
List all assessment tests configured in your catalog
list_high_score_candidates
Identify candidates who achieved a score above a specific threshold
list_recently_sent_invitations
List test invitations sent in the last 24 hours
list_test_invitations
List all sent test invitations and their current status
search_candidates_by_identity
Search for a candidate by name or email keyword
Example Prompts for DevSkiller in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with DevSkiller immediately.
"List all candidates who scored above 85% in recent tests."
"Show me the assessment status for candidate 'john.doe@example.com'."
"Invite 'Sarah Smith' (sarah@example.com) to the 'Frontend React' test."
Troubleshooting DevSkiller MCP Server with AutoGen
Common issues when connecting DevSkiller to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"DevSkiller + AutoGen FAQ
Common questions about integrating DevSkiller MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect DevSkiller with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DevSkiller to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
