How to Use the BrightMove MCP in OpenAI Agents SDK
Plug BrightMove into your OpenAI Agents SDK pipeline to track hires and run recruitment data without leaving your production environment.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BrightMove MCP to OpenAI Agents SDK
Create your Vinkius account to connect BrightMove 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.
Full candidate pipeline access
Your agents can pull specific candidate data using `get_applicant` or scan the entire pool via `list_applicants` to keep your local state updated. This removes the need for manual record syncing. By calling `list_references`, your agent checks candidate history directly within the agent loop. It keeps your hiring flow moving without context switching.
Real-time recruitment tracking for OpenAI Agents SDK
Use `get_recruitment_dashboard` to feed high-level hiring metrics into your agent's reasoning process. Your system sees the same numbers as your recruiting team. Pair this with `list_activities` to log every hiring step. It ensures your agent maintains a clear audit trail of every interaction.
Automated job management
The `list_jobs` and `get_job` tools allow your agent to fetch active requirements instantly. Your logic stays grounded in current company needs. Query `list_placements` or `list_user_accounts` to map out your internal team structure. It builds a complete picture of who is working on what.
Set up BrightMove 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 BrightMove tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives BrightMove tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate BrightMove 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="BrightMove Agent",
instructions="You have access to BrightMove 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 BrightMove. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
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
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about BrightMove MCP in OpenAI Agents SDK
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