How to Use the JobScore MCP in OpenAI Agents SDK
Plug your OpenAI Agents SDK directly into your ATS to automate candidate updates and job tracking with production-grade safety.
Works with every AI agent you already use
…and any MCP-compatible client
Connect JobScore MCP to OpenAI Agents SDK
Create your Vinkius account to connect JobScore to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automated candidate pipeline management
Your agent pulls real-time applicant data using `list_candidates` to track progress through your hiring stages. It identifies exactly where each person sits in the funnel without manual spreadsheet exports. Once the agent identifies a candidate, it calls `get_candidate` to pull their full history. This gives your agent the context needed to summarize profiles before you step into an interview.
Sync hiring operations via MCP Server
This MCP Server maps your open roles directly to your agent's decision-making logic. By running `list_jobs`, the agent maintains an accurate count of active positions and their specific department requirements. It handles the heavy lifting of cross-referencing hiring teams. The agent uses `list_hiring_teams` to verify who owns a specific role, ensuring every message or action is routed to the right person.
Verified identity and connection status
Before the agent performs any write operations, it checks its own access levels using `get_me`. This ensures the agent is authenticated and operating within the correct account scope. It provides a clear audit trail of every interaction. Because it leverages the server's tools, your agent maintains a strict record of which user initiated a request, keeping your hiring data clean and traceable.
Set up JobScore MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all JobScore tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives JobScore tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate JobScore tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="JobScore Agent",
instructions="You have access to JobScore tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by JobScore. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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60%
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Common questions about JobScore MCP in OpenAI Agents SDK
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