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Cloud BOT MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 7 tools to Cancel Job, Execute Bot, Get Bot Details, and more

Built by Vinkius GDPR 7 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Cloud BOT app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 7 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="Cloud BOT Assistant",
            instructions=(
                "You help users interact with Cloud BOT. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
Cloud BOT
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 Cloud BOT MCP Server

Connect your Cloud BOT account to any AI agent and take full control of your cloud-based Robotic Process Automation (RPA) and browser-based workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 7 tools from Cloud BOT through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cloud BOT, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Robot Orchestration — List and manage all browser automation robots in your account programmatically, retrieving detailed configuration and input parameter metadata
  • Automated Job Execution — Programmatically trigger bot executions with custom JSON parameters to coordinate high-fidelity web scraping and data entry tasks
  • Workflow Monitoring — Track the real-time status of your automation jobs and retrieve detailed logs and results to maintain perfectly coordinated RPA operations
  • File Architecture — Access and manage files within the Cloud BOT storage used or generated by your robots to maintain high-fidelity data cycles
  • Lifecycle Management — Programmatically cancel or suspend running jobs and verify API connectivity directly through your agent for instant operational reporting

The Cloud BOT MCP Server exposes 7 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.

All 7 Cloud BOT tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Cloud BOT through Vinkius, your AI agent gets direct access to every tool listed below — spanning rpa, web-scraping, no-code, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

cancel_job

Cancel a running job

execute_bot

You can pass optional input parameters as a JSON string. Trigger a bot execution

get_bot_details

Get details for a specific bot

get_job_status

Check the status of a job

list_bots

List all available RPA bots

list_cloudbot_files

List files in Cloud BOT storage

list_jobs

List recent execution jobs

Connect Cloud BOT to OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 7 tools from Cloud BOT

Why Use OpenAI Agents SDK with the Cloud BOT MCP Server

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

01

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

02

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

03

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

04

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

Cloud BOT + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Cloud BOT in OpenAI Agents SDK

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

01

"List all available browser robots in my Cloud BOT account."

02

"Execute the 'Price Scraper' bot (ID: 'bot_123') with URL 'vinkius.com'."

03

"Show the status and logs for automation job 'job_456'."

Troubleshooting Cloud BOT MCP Server with OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

Cloud BOT + OpenAI Agents SDK FAQ

Common questions about integrating Cloud BOT MCP Server with OpenAI Agents SDK.

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.