How to Use the Crelate Talent CRM MCP in OpenAI Agents SDK

Q: Can the OpenAI Agents SDK create new candidate records in Crelate Talent CRM?

Yes. Your agent calls the createcontact tool to add new profiles. You can configure guardrails to require human approval before the API executes the write operation.

Q: Does Crelate Talent CRM sync internal notes with OpenAI Agents SDK?

It pulls them on demand. The agent uses getcontactnotes to read recruiter feedback during an active session. Nothing is permanently stored in OpenAI unless you explicitly save it there.

Q: What happens if the agent tries to modify a job order?

The server only exposes read tools for jobs, like getjobdetails. Your agent cannot overwrite or delete job requisitions. It only reads what currently exists.

Build production-ready recruiting agents with this OpenAI Agents SDK MCP Server to read, write, and manage candidate data safely.

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Connect Crelate Talent CRM MCP to OpenAI Agents SDK

Create your Vinkius account to connect Crelate Talent 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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Setup Crelate Talent CRM with OpenAI Agents SDK

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Automate Candidate Sourcing

Your OpenAI agent needs context to evaluate candidates. Give it direct access to your database. It pulls full profiles using `get_contact_details` and scans internal recruiter feedback via `get_contact_notes`. Handoffs between specialized agents happen natively. A sourcing agent finds matches with `search_contacts_by_name`, then passes the data to an outreach agent. You track every API call through the OpenAI dashboard.

Connect OpenAI Agents SDK to this MCP Server

Matching talent to open roles requires real-time job requirements. This MCP Server lets your agent pull active requisitions using `list_jobs` and inspect specific requirements via `get_job_details`. Built-in guardrails validate these actions before execution. You dictate exactly which roles the agent can analyze. It stops hallucinated job descriptions before they reach a candidate's inbox.

Track Recruiting Activity

A deployed product needs an audit trail. Your agent logs new prospects straight into your pipeline with `create_contact`. It also monitors team output by calling `list_recent_activities`. Passing this server to your Agent constructor takes seconds. Tools auto-discover immediately. Set cacheToolsList to true, and your agent runs without redundant network calls.

Setup guide

Set up Crelate Talent 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

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

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 Crelate Talent CRM tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Crelate Talent CRM tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Crelate Talent 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="Crelate Talent CRM Agent",
            instructions="You have access to Crelate Talent CRM tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Crelate Talent CRM MCP in OpenAI Agents SDK

Install the openai-agents package via pip. Initialize MCPServerStreamableHttp with your Vinkius endpoint URL and pass it to your Agent constructor. The MCP integration discovers all ten tools automatically.

Yes. Your agent calls the create_contact tool to add new profiles. You can configure guardrails to require human approval before the API executes the write operation.

It pulls them on demand. The agent uses get_contact_notes to read recruiter feedback during an active session. Nothing is permanently stored in OpenAI unless you explicitly save it there.

The server only exposes read tools for jobs, like get_job_details. Your agent cannot overwrite or delete job requisitions. It only reads what currently exists.

Candidate phone numbers, emails, and resumes route through the V8 Isolate Sandbox. Vinkius drops the ephemeral container the moment your session ends. We never inspect or log the payload contents.

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