Olostep MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Check Olostep Status, Create Agent, Create Batch, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Olostep through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Olostep app connector for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Olostep Assistant",
instructions=(
"You help users interact with Olostep. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Olostep"
)
print(result.final_output)
asyncio.run(main())
* 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 Olostep MCP Server
Connect your Olostep account to any AI agent and take full control of your web scraping orchestration and automated data extraction workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Olostep through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Olostep, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Scraping Batch Orchestration — List and manage your entire portfolio of scraping batches programmatically, retrieving detailed technical status and URL counts
- URL Extraction Intelligence — Programmatically trigger and monitor real-time URL scrapes to maintain a perfectly coordinated knowledge pipeline
- Agent & Schedule Architecture — Access your complete directory of research agents and automated schedules to oversee your organizational data ingestion
- Hosted Result Monitoring — Access hosted result URLs (Markdown, JSON) and retrieve technical metadata for your research archive in real-time
- Operational Monitoring — Verify account-level API connectivity and monitor scraping volume directly through your agent for perfectly coordinated service scaling
The Olostep 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.
All 10 Olostep tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Olostep through Vinkius, your AI agent gets direct access to every tool listed below — spanning headless-browser, data-extraction, web-automation, 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.
Verify Olostep API connectivity
Create a scraping agent
Pass URLs as comma-separated values. Create a batch scrape
Get agent details
Get batch details
Get batch results
Get API usage stats
List scraping agents
List all batches
Optionally specify format: markdown, html, or text. Scrape a web page
Connect Olostep to OpenAI Agents SDK via MCP
Follow these steps to wire Olostep into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Olostep MCP Server
OpenAI Agents SDK provides unique advantages when paired with Olostep 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
Olostep + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Olostep MCP Server delivers measurable value.
Automated workflows: build agents that query Olostep, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Olostep, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Olostep tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Olostep to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Olostep in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Olostep immediately.
"Scrape the homepage of example.com as markdown."
"Create a batch scrape for 5 competitor product pages."
"Show my Olostep API usage this month."
Troubleshooting Olostep MCP Server with OpenAI Agents SDK
Common issues when connecting Olostep to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Olostep + OpenAI Agents SDK FAQ
Common questions about integrating Olostep MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.