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Vinkius runs on OpenAI Agents SDK

How to Use the Recruit CRM MCP in OpenAI Agents SDK

Build production-ready recruitment pipelines with OpenAI Agents SDK and Recruit CRM.

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Recruit CRM MCP on Cursor AI Code Editor MCP Client Recruit CRM MCP on Claude Desktop App MCP Integration Recruit CRM MCP on OpenAI Agents SDK MCP Compatible Recruit CRM MCP on Visual Studio Code MCP Extension Client Recruit CRM MCP on GitHub Copilot AI Agent MCP Integration Recruit CRM MCP on Google Gemini AI MCP Integration Recruit CRM MCP on Lovable AI Development MCP Client Recruit CRM MCP on Mistral AI Agents MCP Compatible Recruit CRM MCP on Amazon AWS Bedrock MCP Support
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Vinkius runs on OpenAI Agents SDK

Connect Recruit CRM MCP to OpenAI Agents SDK

Create your Vinkius account to connect Recruit CRM 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.

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Key Capabilities

Guarded Candidate Creation via OpenAI Agents SDK

The `create_candidate` tool lets your OpenAI agent insert new talent profiles directly into your recruiting pipeline. Because you are running a production OpenAI agent, you set hard guardrails to verify candidate email formats and contact details before the agent executes the call. If a resume lacks a phone number, this MCP server lets your OpenAI agent halt the execution instead of writing bad data. This setup ensures your Recruit CRM database stays clean without manual QA.

Multi-Agent Job Matching

The `list_jobs` tool pulls open roles while `list_candidates` grabs your active talent pool. You can set up one agent to find candidates and another to match them to open jobs, passing data back and forth. The OpenAI dashboard tracks these handoffs as they happen. You see exactly how the agents coordinate to link candidates to vacancies without writing custom routing logic.

Automated Application Screening

The `list_job_applications` tool exposes who applied to what, and `get_candidate_details` fetches their full work history. Your production agent reviews these files and logs the screening notes. By caching the MCP tool list in your Python code, your agent gets instant access to these Recruit CRM endpoints. You keep latency low while processing hundreds of applicants.

Setup guide

Set up Recruit CRM MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Recruit CRM tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Recruit CRM tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Recruit CRM tools and returns structured results. Copy the full example on the right to get started.

agent.py
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="Recruit CRM Agent",
            instructions="You have access to Recruit CRM 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 Recruit CRM. 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

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Real-time monitoring

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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 Recruit CRM MCP in OpenAI Agents SDK

Install the openai-agents package and initialize the MCPServerStreamableHttp client with your endpoint URL. Pass this instance directly into your Agent constructor to let your system discover the tools automatically.
Yes, you define these limits inside your OpenAI agent definition. Blocking write tools like `create_job` or `create_candidate` for basic retrieval agents keeps your data safe.
The SDK manages retries natively when tools like `list_candidates` hit API limits. You configure the backoff policy directly in your agent configuration to keep data fetching smooth.
This error usually means the candidate ID is missing or malformed. Ensure your agent first calls `list_candidates` to grab valid, active IDs before trying to fetch specific profiles.
All candidate data retrieved via `get_candidate_details` remains inside your private OpenAI session. Vinkius runs the MCP server in a zero-trust, isolated sandbox, meaning your talent profiles are never stored or exposed to external networks.

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