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OpenCost (K8s Cost) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Get Allocation, Get Assets, Get Cloud Cost, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect OpenCost (K8s Cost) 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 for OpenAI Agents SDK

The OpenCost (K8s Cost) MCP Server for OpenAI Agents SDK is a standout in the Cloud Infrastructure category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
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="OpenCost (K8s Cost) Assistant",
            instructions=(
                "You help users interact with OpenCost (K8s Cost). "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from OpenCost (K8s Cost)"
        )
        print(result.final_output)

asyncio.run(main())
OpenCost (K8s Cost)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OpenCost (K8s Cost) MCP Server

Connect your OpenCost instance to any AI agent to gain real-time visibility into your Kubernetes spending and infrastructure efficiency through natural language.

The OpenAI Agents SDK auto-discovers all 6 tools from OpenCost (K8s Cost) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries OpenCost (K8s Cost), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Workload Allocation — Query costs and resources allocated to clusters, nodes, namespaces, controllers, and pods using get_allocation.
  • Asset Inspection — Retrieve backing cost data for physical infrastructure like Nodes, Disks, and Load Balancers via get_assets.
  • Cloud Billing Integration — Access AWS CUR, Azure Export, and GCP Billing data directly with get_cloud_cost to reconcile K8s costs with provider bills.
  • Third-Party Costs — Track external service expenses (e.g., Datadog, MongoDB Atlas) using custom cost timeseries and total summary tools.
  • Granular Filtering — Aggregate data by labels, annotations, or service levels to understand exactly where your budget is going.

The OpenCost (K8s Cost) MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 OpenCost (K8s Cost) tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to OpenCost (K8s Cost) through Vinkius, your AI agent gets direct access to every tool listed below — spanning kubernetes, cost-optimization, cloud-billing, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get allocation on OpenCost (K8s Cost)

Query costs and resources allocated to Kubernetes workloads

get

Get assets on OpenCost (K8s Cost)

Retrieve backing cost data broken down by individual assets

get

Get cloud cost on OpenCost (K8s Cost)

Retrieve cloud cost data directly from cloud provider billing reports

get

Get custom cost timeseries on OpenCost (K8s Cost)

g., Datadog, MongoDB Atlas). Get samples of third-party service costs over time steps

get

Get custom cost total on OpenCost (K8s Cost)

Get summary of third-party costs over a window

set

Set log level on OpenCost (K8s Cost)

Change OpenCost log level at runtime

Connect OpenCost (K8s Cost) to OpenAI Agents SDK via MCP

Follow these steps to wire OpenCost (K8s Cost) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 6 tools from OpenCost (K8s Cost)

Why Use OpenAI Agents SDK with the OpenCost (K8s Cost) MCP Server

OpenAI Agents SDK provides unique advantages when paired with OpenCost (K8s Cost) through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

OpenCost (K8s Cost) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the OpenCost (K8s Cost) MCP Server delivers measurable value.

01

Automated workflows: build agents that query OpenCost (K8s Cost), process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries OpenCost (K8s Cost), another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through OpenCost (K8s Cost) tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query OpenCost (K8s Cost) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for OpenCost (K8s Cost) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OpenCost (K8s Cost) immediately.

01

"Show me the cost allocation for all namespaces over the last 7 days."

02

"What are the backing asset costs for our nodes today?"

03

"Get the total summary for third-party service costs for the current month."

Troubleshooting OpenCost (K8s Cost) MCP Server with OpenAI Agents SDK

Common issues when connecting OpenCost (K8s Cost) to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

OpenCost (K8s Cost) + OpenAI Agents SDK FAQ

Common questions about integrating OpenCost (K8s Cost) MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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