Nimbleway MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Nimbleway through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Nimbleway Assistant",
instructions=(
"You help users interact with Nimbleway. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Nimbleway"
)
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 Nimbleway MCP Server
Connect your Nimbleway account to your AI agent and leverage high-performance web data collection through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Nimbleway through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Nimbleway, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Web Extraction — Fetch and render any web page as raw HTML or clean Markdown using advanced stealth technology to bypass bots.
- Structured Search — Execute real-time web searches and receive structured data directly from major search engines.
- Pipeline Management — List and inspect your data streams (pipelines) to monitor your scraping workflows.
- Usage Monitoring — Track your current bandwidth, remaining credits, and overall account usage in real-time.
- Job Tracking — Monitor the progress and metadata of your active data extraction and crawling jobs.
- Proxy Oversight — Access configuration details for your residential and data center proxy endpoints.
The Nimbleway 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 Nimbleway to OpenAI Agents SDK via MCP
Follow these steps to integrate the Nimbleway 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 Nimbleway
Why Use OpenAI Agents SDK with the Nimbleway MCP Server
OpenAI Agents SDK provides unique advantages when paired with Nimbleway 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
Nimbleway + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Nimbleway MCP Server delivers measurable value.
Automated workflows: build agents that query Nimbleway, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Nimbleway, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Nimbleway tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Nimbleway to resolve tickets, look up records, and update statuses without human intervention
Nimbleway MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Nimbleway to OpenAI Agents SDK via MCP:
extract_html
Extract web page as HTML
extract_markdown
Extract web page as Markdown
get_account_usage
Check account bandwidth and usage
get_job
Get specific job details
get_me
Get current account info
get_pipeline
Get specific pipeline details
list_jobs
List scraping jobs
list_pipelines
List scraping pipelines
list_proxies
List proxy configuration
search_web
Perform structured web search
Example Prompts for Nimbleway in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Nimbleway immediately.
"Extract the content of 'https://example.com' as Markdown."
"Search the web for 'latest AI developments 2024' and give me structured results."
"Check my account usage and remaining credits."
Troubleshooting Nimbleway MCP Server with OpenAI Agents SDK
Common issues when connecting Nimbleway to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Nimbleway + OpenAI Agents SDK FAQ
Common questions about integrating Nimbleway 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.Does the SDK support streaming responses?
Connect Nimbleway with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Nimbleway to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.