Zeev MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Cancel Request, Create Request, Delegate Task, and more

Name: Zeev
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Zeev MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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="Zeev Assistant",
            instructions=(
                "You help users interact with Zeev. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Zeev"
        )
        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 Zeev MCP Server

What you can do

List and manage your pending tasks in real-time.
Start new process requests with custom form data.
Complete tasks and make decisions directly from your AI agent.
Delegate tasks to other team members and track process history.

Who is it for?

Process managers looking for automated workflow control.
Operations teams needing quick task execution.
Developers integrating BPM into their AI-driven applications.

The OpenAI Agents SDK auto-discovers all 11 tools from Zeev through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Zeev, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

The Zeev MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Zeev tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Zeev through Vinkius, your AI agent gets direct access to every tool listed below — spanning bpm, workflow-automation, process-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

cancel

Cancel request on Zeev

Cancel an active process request

create

Create request on Zeev

Start a new process request in Zeev

delegate

Delegate task on Zeev

Delegate a task to another user

finish

Finish task on Zeev

Finish/Complete a Zeev task

get

Get me on Zeev

Get current user information

get

Get process on Zeev

Get details of a process definition

get

Get request on Zeev

Get details of a specific process request

get

Get task on Zeev

Get details of a specific Zeev task

list

List processes on Zeev

List available process definitions

list

List requests on Zeev

List process requests (instances) in Zeev

list

List tasks on Zeev

List pending tasks in Zeev

Connect Zeev to OpenAI Agents SDK via MCP

Follow these steps to wire Zeev into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 11 tools from Zeev

Why Use OpenAI Agents SDK with the Zeev MCP Server

OpenAI Agents SDK provides unique advantages when paired with Zeev 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

Zeev + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Zeev in OpenAI Agents SDK

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

"List my pending tasks in Zeev."

"Finish task 123 with decision 'Approved'."

"Start a new 'Expense Report' process."

Troubleshooting Zeev MCP Server with OpenAI Agents SDK

Common issues when connecting Zeev to OpenAI Agents SDK through 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.

Zeev + OpenAI Agents SDK FAQ

Common questions about integrating Zeev 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.