Can I check the status of a specific job requisition from the agent?

Yes! Use the `get_requisition` tool with the Requisition ID. Your agent will fetch the latest status and metadata directly from the Beeline cloud.

How do I list all active assignments for my department?

Simply ask the agent to `list_assignments`. It will retrieve the current work orders and assignments linked to your account for your review.

Does the integration support approving timesheets directly?

Currently, the toolset is focused on querying and auditing (Read-Only). You can list and inspect timesheets, but approvals must be performed within the Beeline VMS platform for security compliance.

Beeline MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Beeline
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Beeline through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Beeline Assistant",
            instructions=(
                "You help users interact with Beeline. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Beeline"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Beeline MCP Server

Connect your Beeline Vendor Management System (VMS) account to any AI agent and orchestrate your contingent workforce operations through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Beeline through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Beeline, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Assignment Oversight — List and inspect active work assignments to monitor external talent deployment.
Requisition Management — Query job requisitions and search for open postings within your organization.
Time & Expense Tracking — Retrieve submitted timesheets and expense reports for auditing and approval workflows.
Supplier Management — List and verify the vendors and suppliers linked to your Beeline account.
User Auditing — Retrieve account profile information to ensure correct system access.

The Beeline MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Beeline to OpenAI Agents SDK via MCP

Follow these steps to integrate the Beeline MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Beeline

Why Use OpenAI Agents SDK with the Beeline MCP Server

OpenAI Agents SDK provides unique advantages when paired with Beeline through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Beeline + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Beeline MCP Server delivers measurable value.

Automated workflows: build agents that query Beeline, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Beeline, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Beeline tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Beeline to resolve tickets, look up records, and update statuses without human intervention

Beeline MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Beeline to OpenAI Agents SDK via MCP:

get_assignment

Get details of a specific assignment

get_requisition

Get details of a job requisition

get_timesheet

Get details of a specific timesheet

get_user_info

Get Beeline user profile

list_assignments

List active work assignments

list_expenses

List expense reports

list_requisitions

List job requisitions

list_suppliers

List vendors/suppliers

list_timesheets

List submitted timesheets

search_requisitions

Search job requisitions by keyword

Example Prompts for Beeline in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Beeline immediately.

"List all active assignments in Beeline."

"Search for open requisitions matching 'React'."

"Show me recent timesheets that need review."

Troubleshooting Beeline MCP Server with OpenAI Agents SDK

Common issues when connecting Beeline to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Beeline + OpenAI Agents SDK FAQ

Common questions about integrating Beeline MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.