DoiT MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect DoiT through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 DoiT, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 DoiT MCP Server
Integrate DoiT, the leading cloud cost management and optimization platform, directly into your AI workflow. Manage your multi-cloud assets across AWS, Google Cloud, and Microsoft Azure, monitor real-time cost anomalies and budgets, and track your cloud spending using natural language.
The Vercel AI SDK gives every DoiT tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Cloud Oversight — List and retrieve detailed configuration and cost data for all your cloud assets and connected accounts.
- Anomaly Intelligence — Monitor real-time cost anomalies and unexpected spending spikes across your cloud infrastructure.
- Budget Monitoring — Track cloud spending budgets, threshold limits, and current consumption percentages.
- Cost Auditing — Retrieve high-level summaries of total cloud expenditure and identify high-severity cost spikes instantly.
The DoiT MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect DoiT to Vercel AI SDK via MCP
Follow these steps to integrate the DoiT MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from DoiT and passes them to the LLM
Why Use Vercel AI SDK with the DoiT MCP Server
Vercel AI SDK provides unique advantages when paired with DoiT through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same DoiT integration everywhere
Built-in streaming UI primitives let you display DoiT tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
DoiT + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DoiT MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DoiT in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DoiT tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DoiT capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DoiT through natural language queries
DoiT MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect DoiT to Vercel AI SDK via MCP:
get_asset_details
Get detailed configuration and cost data for a specific cloud asset
get_billing_cost_summary
Retrieve a high-level summary of total cloud spending across all platforms
get_doit_account_metadata
Retrieve metadata for the current DoiT organization
list_cloud_assets
List all cloud assets (AWS, GCP, Azure) managed by DoiT
list_connected_cloud_accounts
List all connected AWS, GCP, or Azure accounts
list_cost_anomalies
List all detected cloud cost anomalies and unexpected spending spikes
list_cost_budgets
List all cloud spending budgets configured in DoiT
list_critical_cost_spikes
Identify high-severity cost anomalies that require immediate attention
list_exceeded_cost_budgets
Identify budgets that have exceeded their configured spending limits
search_cloud_assets
Search for cloud assets using a name keyword
Example Prompts for DoiT in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with DoiT immediately.
"Show me our total cloud cost summary."
"Are there any critical cost anomalies right now?"
"List all budgets that have exceeded 100% consumption."
Troubleshooting DoiT MCP Server with Vercel AI SDK
Common issues when connecting DoiT to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDoiT + Vercel AI SDK FAQ
Common questions about integrating DoiT MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect DoiT with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DoiT to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.