LangChainFramework

OpenCost (K8s Cost) MCP Server

Bring Kubernetes
to LangChain

Name: OpenCost (K8s Cost) MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect OpenCost (K8s Cost) to LangChain and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Get AllocationGet AssetsGet Cloud CostGet Custom Cost TimeseriesGet Custom Cost TotalSet Log Level

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
Enter your OpenCost API Base URL
Start auditing your cloud spend from Claude, Cursor, or any MCP client

Who is this for?

DevOps & Platform Engineers — Identify expensive namespaces or orphaned resources without manual dashboard diving.
FinOps Teams — Reconcile internal Kubernetes allocations with external cloud provider billing reports instantly.
Engineering Managers — Get quick summaries of project-based costs to stay within budget during development cycles.

Built-in capabilities (6)

get_allocation

Query costs and resources allocated to Kubernetes workloads

get_assets

Retrieve backing cost data broken down by individual assets

get_cloud_cost

Retrieve cloud cost data directly from cloud provider billing reports

get_custom_cost_timeseries

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

get_custom_cost_total

Get summary of third-party costs over a window

set_log_level

Change OpenCost log level at runtime

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with OpenCost (K8s Cost) through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

—
The largest ecosystem of integrations, chains, and agents. combine OpenCost (K8s Cost) MCP tools with 500+ LangChain components
—
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
—
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
—
Memory and conversation persistence let agents maintain context across OpenCost (K8s Cost) queries for multi-turn workflows

See it in action

OpenCost (K8s Cost) in LangChain

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

OpenCost (K8s Cost) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect OpenCost (K8s Cost) to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for LangChain →

Enterprise Security

Why teams choose Vinkius for OpenCost (K8s Cost) in LangChain

The OpenCost (K8s Cost) 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full OpenCost (K8s Cost) details →

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

The Vinkius Advantage

How Vinkius secures
OpenCost (K8s Cost) for LangChain

Every tool call from LangChain to the OpenCost (K8s Cost) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I see costs grouped by a specific Kubernetes namespace?

Yes. Use the get_allocation tool and set the aggregate parameter to 'namespace'. You can also specify a window like '7d' to see trends over the last week.

Does this server support viewing external cloud provider billing?

Absolutely. The get_cloud_cost tool retrieves data directly from cloud provider billing reports (AWS CUR, Azure Export, GCP Billing) to give you a complete financial picture.

Can I track costs for non-Kubernetes services like Datadog?

Yes, if configured in your OpenCost instance, you can use get_custom_cost_total or get_custom_cost_timeseries to query costs for third-party SaaS and infrastructure services.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.