How to Use the HRBlade MCP in OpenAI Agents SDK
Build production-ready recruiting agents with HRBlade and the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HRBlade MCP to OpenAI Agents SDK
Create your Vinkius account to connect HRBlade 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.
Auto-discover HRBlade MCP Server tools
The `list_candidates` tool pulls your entire recruiting pipeline directly into your agent's context window. You pass the server to the Agent constructor, and it maps the endpoints without manual configuration. When a recruiter asks for an update, the agent hits `get_candidate_details` to pull the exact status. OpenAI's built-in tracing logs every step, so you know exactly which records the agent touched.
Safe, guarded interview scheduling
Your agent uses `create_interview` to generate new templates by passing a JSON string with the role requirements. Because this SDK enforces strict guardrails, it validates the parameters before execution. You don't want agents spamming people. When it triggers `send_interview_invitation`, the system checks your safety constraints first. You get automated outreach without the risk of rogue emails.
Track video responses autonomously
The `list_interview_responses` tool grabs candidate video submissions as soon as they land. Your specialized screening agent reads this data and hands off the best profiles to the scheduling agent. To check existing templates, the agent calls `list_interviews`. By setting `cacheToolsList=True` in your setup, these repeated lookups happen fast, keeping API overhead low during heavy hiring cycles.
Set up HRBlade 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 HRBlade tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives HRBlade tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate HRBlade 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="HRBlade Agent",
instructions="You have access to HRBlade 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 HRBlade. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
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place for every integration
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Common questions about HRBlade MCP in OpenAI Agents SDK
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