How to Use the ncScale MCP in OpenAI Agents SDK

Q: How do I connect ncScale to my OpenAI Agents SDK project?

You initialize the server by passing the endpoint to MCPServerStreamableHttp. Once configured, the OpenAI Agents SDK automatically detects and registers all available tools for your agent to use.

Q: Can ncScale logs be processed by an OpenAI Agents SDK agent?

Yes. The listlogs tool returns raw log data that your agent can process and summarize. It handles unstructured output, allowing your agent to identify patterns in real-time.

Q: Does ncScale support OpenAI Agents SDK alert filtering?

Yes. You can use your agent to call listalerts and filter the results based on your specific criteria. This prevents your agent from reacting to low-priority noise.

Monitor your no-code infrastructure directly within the OpenAI Agents SDK for production-grade observability.

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Connect ncScale MCP to OpenAI Agents SDK

Create your Vinkius account to connect ncScale to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup ncScale with OpenAI Agents SDK

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Real-time alert triage

Your agents can now intercept system failures before they impact revenue. Use `list_alerts` to pull active incidents and `get_alert` to extract the specific diagnostic data required for a fix. Automate your response logic by feeding these alerts directly into your agent's decision loop. This keeps your stack running without manual intervention.

Trace no-code node performance

Stop guessing why a workflow stalled. The `list_nodes` and `get_node` tools provide the granular state of every component in your stack. Your agent parses these details to pinpoint exactly where data flow breaks. It’s the fastest way to debug complex integrations without leaving your development environment.

Query logs and ticket history

Centralize your troubleshooting by connecting your agent to your full log stream. Call `list_logs` to retrieve recent events or `list_tickets` to review existing maintenance tasks. This gives your agent the context needed to correlate recurring errors. You get a clear view of system health without digging through multiple dashboard tabs.

Setup guide

Set up ncScale MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all ncScale tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ncScale tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ncScale tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="ncScale Agent",
            instructions="You have access to ncScale tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about ncScale MCP in OpenAI Agents SDK

You initialize the server by passing the endpoint to `MCPServerStreamableHttp`. Once configured, the OpenAI Agents SDK automatically detects and registers all available tools for your agent to use.

Yes. The `list_logs` tool returns raw log data that your agent can process and summarize. It handles unstructured output, allowing your agent to identify patterns in real-time.

Yes. You can use your agent to call `list_alerts` and filter the results based on your specific criteria. This prevents your agent from reacting to low-priority noise.

Vinkius manages all authentication via a single endpoint token. Your data stays isolated within your workspace, and the agent only accesses what you explicitly permit through tool calls.

This server accesses your alert logs, node configurations, and ticketing metadata. It does not touch your underlying application source code or raw user databases.

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