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

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect OpenCost (K8s Cost) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The OpenCost (K8s Cost) MCP Server for Vercel AI 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

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using OpenCost (K8s Cost), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

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 Vercel AI SDK gives every OpenCost (K8s Cost) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI 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 Vercel AI SDK

When Vercel AI 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 Vercel AI SDK via MCP

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

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 6 tools from OpenCost (K8s Cost) and passes them to the LLM

Why Use Vercel AI SDK with the OpenCost (K8s Cost) MCP Server

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

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same OpenCost (K8s Cost) integration everywhere

03

Built-in streaming UI primitives let you display OpenCost (K8s Cost) tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

OpenCost (K8s Cost) + Vercel AI SDK Use Cases

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

01

AI-powered web apps: build dashboards that query OpenCost (K8s Cost) in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate OpenCost (K8s Cost) tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed OpenCost (K8s Cost) capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with OpenCost (K8s Cost) through natural language queries

Example Prompts for OpenCost (K8s Cost) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

OpenCost (K8s Cost) + Vercel AI SDK FAQ

Common questions about integrating OpenCost (K8s Cost) MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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