DevSkiller MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DevSkiller through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="DevSkiller Assistant",
instructions=(
"You help users interact with DevSkiller. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from DevSkiller"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from DevSkiller through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DevSkiller, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the DevSkiller MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from DevSkiller
Why Use OpenAI Agents SDK with the DevSkiller MCP Server
OpenAI Agents SDK provides unique advantages when paired with DevSkiller through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
DevSkiller + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the DevSkiller MCP Server delivers measurable value.
Automated workflows: build agents that query DevSkiller, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries DevSkiller, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through DevSkiller tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query DevSkiller to resolve tickets, look up records, and update statuses without human intervention
DevSkiller MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect DevSkiller to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting DevSkiller to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
DevSkiller + OpenAI Agents SDK FAQ
Common questions about integrating DevSkiller MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect DevSkiller with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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.
Type-safe agent development for Python with first-class MCP support.
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.