How to Use the Jobtoolz MCP in OpenAI Agents SDK
Build production-ready recruitment pipelines with OpenAI Agents SDK using direct access to your Jobtoolz candidate data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Jobtoolz MCP to OpenAI Agents SDK
Create your Vinkius account to connect Jobtoolz 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.
Automate applicant screening with OpenAI Agents SDK
This MCP Server connects your autonomous agent directly to candidate profiles via `get_candidate`. Your agent pulls contact info, application histories, and custom fields to verify if an applicant fits the target profile without you clicking through a browser. It gets the raw data directly, making decisions based on actual facts rather than guesses. You can chain this tool with `list_candidates` to run batch screening sessions. The agent loops through new entries, flags promising profiles, and keeps your pipeline moving without manual intervention.
Audit hiring sources and department pipelines
This MCP Server exposes `list_sources` and `list_departments` to help you track where your best applicants originate. Your agent runs queries across these endpoints to compile reports on channel performance. You see exactly which job boards bring in top talent. Combine this with `list_jobs` to map open positions back to specific teams. It gives your agent the context it needs to organize candidates by business unit automatically.
Map candidate journeys through pipeline stages
This MCP Server exposes `list_stages` and `list_tags` to give your agent a clear map of your hiring workflow. The agent checks these endpoints to find out exactly where a candidate sits in the hiring funnel. It prevents your system from sending the wrong email to someone who already reached the offer stage. Use `list_users` alongside these tools to assign hiring managers to specific stages. Your agent handles the routing so your team only sees candidates who passed initial screens.
Set up Jobtoolz 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 Jobtoolz tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Jobtoolz tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Jobtoolz 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="Jobtoolz Agent",
instructions="You have access to Jobtoolz 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 Jobtoolz. 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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Common questions about Jobtoolz MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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