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
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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_costto 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 allocation on OpenCost (K8s Cost)
Query costs and resources allocated to Kubernetes workloads
Get assets on OpenCost (K8s Cost)
Retrieve backing cost data broken down by individual assets
Get cloud cost on OpenCost (K8s Cost)
Retrieve cloud cost data directly from cloud provider billing reports
Get custom cost timeseries on OpenCost (K8s Cost)
g., Datadog, MongoDB Atlas). Get samples of third-party service costs over time steps
Get custom cost total on OpenCost (K8s Cost)
Get summary of third-party costs over a window
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.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
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.
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
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.
Automated workflows: build agents that query OpenCost (K8s Cost), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries OpenCost (K8s Cost), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through OpenCost (K8s Cost) tools and transform it with OpenAI models in a single async loop
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.
"Show me the cost allocation for all namespaces over the last 7 days."
"What are the backing asset costs for our nodes today?"
"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.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
OpenCost (K8s Cost) + OpenAI Agents SDK FAQ
Common questions about integrating OpenCost (K8s Cost) 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?
Explore More MCP Servers
View all →
Google Ads
8 toolsEquip your AI agent with direct access to Google Ads — manage search, display, and shopping campaigns, track conversions, and optimize ad spend without opening the Google Ads console.

ClickUp
10 toolsBring tasks, docs, goals, and team communication together in one workspace that replaces scattered project management tools.

U.S. EIA Energy Data
10 toolsEquip your AI agent to access official U.S. energy statistics, track electricity generation, and monitor fuel prices via the EIA API.

DNSimple
77 toolsManage domains, DNSSEC, and email forwarding via DNSimple — list accounts, control domains, and manage DS records directly from your AI agent.
