How to Use the Manatal MCP in OpenAI Agents SDK

Connect your OpenAI Agents SDK production system to Manatal and let your agents handle candidate data with built-in guardrails.

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Connect Manatal MCP to OpenAI Agents SDK

Create your Vinkius account to connect Manatal 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 Manatal with OpenAI Agents SDK

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Full pipeline visibility for OpenAI Agents SDK

Your agent pulls real-time hiring data directly into its execution flow. Use `list_candidates` to find prospects and `get_candidate` to pull their full background without leaving your codebase. Every action triggers a trace event in your dashboard. You see exactly what your agent touched before it updates a record.

Active job and application management

Keep your recruitment pipeline synced by calling `list_jobs` and `list_applications` during agent loops. The server exposes these as standard tools for your agent to verify openings. It handles the heavy lifting of fetching records. Your agent simply processes the returned data to determine the next logical step in your hiring workflow.

Organization and department context

Give your agent access to your internal structure via `list_organizations` and `list_departments`. It uses this context to assign candidates to the right hiring manager automatically. These tools provide the hierarchy your agent needs to make informed decisions. It stops guessing and starts matching based on your actual business structure.

Setup guide

Set up Manatal 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 Manatal tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Manatal 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="Manatal Agent",
            instructions="You have access to Manatal 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 Manatal MCP in OpenAI Agents SDK

You define the MCP server endpoint in your agent configuration. Once connected, your agent automatically discovers the available tools and maps them to your local logic.

The server provides read-only access to your recruiting data. It ensures your agent can query information while keeping your core ATS configuration secure.

Yes. Every tool response flows through your agent's validation layer. If the data format changes, your guardrails catch it before any downstream logic executes.

The server returns an authentication error during the next tool call. You catch this in your agent's error handler and prompt for a new token.

Your candidate details move directly between the server and your agent. No third-party logging happens, and you control every byte sent to the model.

Use it with your favorite AI tools

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