Flystack MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Flystack 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="Flystack Assistant",
instructions=(
"You help users interact with Flystack. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Flystack"
)
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 Flystack MCP Server
Empower your AI agent to orchestrate your entire cloud infrastructure and deployment auditing workflow with Flystack, the comprehensive source for programmable infrastructure data. By connecting Flystack to your agent, you transform complex DevOps tasks into a natural conversation. Your agent can instantly retrieve active deployments, audit cluster health, and monitor performance metrics without you ever touching a cloud console. Whether you are conducting system audits or managing application scaling, your agent acts as a real-time infrastructure consultant, ensuring your data is always comprehensive and up-to-the-minute.
The OpenAI Agents SDK auto-discovers all 5 tools from Flystack through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Flystack, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Deployment Auditing — Retrieve high-resolution details for all active deployments, including status, region, and creation metadata.
- Cluster Oversight — Audit the health and configuration of your infrastructure clusters to maintain strict organizational control.
- Performance Intelligence — Query real-time metrics including CPU and memory usage to understand the operational scale of your applications instantly.
- Resource Discovery — Retrieve detailed metadata for specific deployment IDs to assist in deep-dive infrastructure classification.
- Operational Monitoring — Check API status to ensure your infrastructure research workflow is always operational.
The Flystack MCP Server exposes 5 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 Flystack to OpenAI Agents SDK via MCP
Follow these steps to integrate the Flystack 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 5 tools from Flystack
Why Use OpenAI Agents SDK with the Flystack MCP Server
OpenAI Agents SDK provides unique advantages when paired with Flystack 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
Flystack + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Flystack MCP Server delivers measurable value.
Automated workflows: build agents that query Flystack, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Flystack, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Flystack tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Flystack to resolve tickets, look up records, and update statuses without human intervention
Flystack MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect Flystack to OpenAI Agents SDK via MCP:
check_api_status
Check if the Flystack service is operational
get_cluster_metrics
Get real-time performance metrics for a specific cluster
get_deployment_details
Get full details for a specific deployment by ID
list_flystack_clusters
List all infrastructure clusters in your Flystack account
list_flystack_deployments
List all active deployments in your Flystack account
Example Prompts for Flystack in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Flystack immediately.
"List all active deployments using Flystack."
"What are the metrics for cluster ID 'cluster-123'?"
"Show details for deployment 'api-gateway'."
Troubleshooting Flystack MCP Server with OpenAI Agents SDK
Common issues when connecting Flystack to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Flystack + OpenAI Agents SDK FAQ
Common questions about integrating Flystack 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 Flystack 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 Flystack to OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.