ncScale 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 ncScale 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="ncScale Assistant",
instructions=(
"You help users interact with ncScale. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ncScale"
)
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 ncScale MCP Server
Connect your ncScale observability platform to your AI agent and gain full visibility into your no-code infrastructure through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from ncScale through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ncScale, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Node Monitoring — List all no-code elements (nodes) being monitored and get detailed configuration and status updates.
- Real-time Logs — Access recent activity and execution logs across your entire no-code stack.
- Incident Management — Track active alerts and associated support tickets to ensure high availability.
- Dashboards & Insights — View your custom observability dashboards and workspace metadata.
- Integration Oversight — Monitor third-party tools (Bubble, Airtable, etc.) connected to your ncScale account.
- Deep Inspection — Fetch complete metadata for specific nodes or alerts using their unique IDs.
The ncScale 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 ncScale to OpenAI Agents SDK via MCP
Follow these steps to integrate the ncScale 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 ncScale
Why Use OpenAI Agents SDK with the ncScale MCP Server
OpenAI Agents SDK provides unique advantages when paired with ncScale 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
ncScale + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ncScale MCP Server delivers measurable value.
Automated workflows: build agents that query ncScale, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ncScale, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ncScale tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ncScale to resolve tickets, look up records, and update statuses without human intervention
ncScale MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect ncScale to OpenAI Agents SDK via MCP:
get_alert
Get specific alert info
get_node
Get specific node details
get_workspace_info
Get workspace metadata
list_alerts
List active monitoring alerts
list_dashboards
List observability dashboards
list_integrations
g., Bubble, Airtable) connected to ncScale. List active integrations
list_logs
List monitoring logs
list_nodes
List monitored no-code nodes
list_tickets
List monitoring tickets
list_users
List workspace users
Example Prompts for ncScale in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ncScale immediately.
"List all monitored nodes in my ncScale workspace."
"Show me the latest monitoring logs."
"Check if there are any active alerts right now."
Troubleshooting ncScale MCP Server with OpenAI Agents SDK
Common issues when connecting ncScale to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ncScale + OpenAI Agents SDK FAQ
Common questions about integrating ncScale 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 ncScale 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 ncScale to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.