How to Use the SkootEco MCP in Vercel AI SDK

Q: What is the difference between getemissions and getmetrics with ai-sdk?

getemissions gives you the raw total numbers, broken down by scope or category. getmetrics, however, provides the derived impact scores—the 'so what'—which is better for summary reporting.

Q: Does SkootEco support multiple types of offsets with ai-sdk?

Yes. You can list available options using listoffsets and then execute purchases via purchaseoffset, all while streaming the resulting purchase confirmation back to your user.

Real-time SkootEco Compliance: Stream Data Updates Directly into your UI using ai-sdk.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect SkootEco MCP to Vercel AI SDK

Create your Vinkius account to connect SkootEco to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup SkootEco with Vercel AI SDK

Ask AI about this MCP

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Claude

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Gemini

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Streaming ESG Reports with the MCP Server

Need to show users live compliance data? Your AI client calls `get_esg_report`, and we stream the full report content directly into your React or Next.js frontend. The user sees the metrics populate in real-time, eliminating that annoying loading spinner. This is perfect for dashboards where immediate visual feedback matters. You're not just fetching a static JSON payload; you're building an experience where data appears instantly as it streams from the MCP Server.

Logging Emissions in Real Time

When emissions happen, log them immediately. Use `add_emission` to record specific activity data (Scope 1, 2, or 3) and stream the confirmation back. Your agent can call this tool every time a scooter completes a trip, keeping your records instantly accurate. This mechanism is key for high-frequency logging environments. You'll get instant feedback on which categories (`list_categories`) need attention right as the data comes in.

Visualizing Mitigation Actions

Showing users that they are actively making a difference matters. Call `purchase_offset` or `plant_tree`, and your client streams back confirmation details for that specific transaction. The user sees the offset purchased, or the tree planted, right in their session. This direct feedback loop makes compliance feel tangible. It's simple: call the action tool, receive the streamable result, update the UI.

Setup guide

Set up SkootEco MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all SkootEco tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent SkootEco transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SkootEco. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Common questions about SkootEco MCP in Vercel AI SDK

The MCP Server touches account information and emission records. Data remains encrypted during transport. Your AI client controls the scope of what data is streamed to your application.

Absolutely. Because the SDK supports streaming, you can build dashboards that display evolving metrics—like current emissions or impact profiles—as the data arrives in real time.

`get_emissions` gives you the raw total numbers, broken down by scope or category. `get_metrics`, however, provides the derived impact scores—the 'so what'—which is better for summary reporting.

Yes. You can list available options using `list_offsets` and then execute purchases via `purchase_offset`, all while streaming the resulting purchase confirmation back to your user.

The SDK is designed for production environments, meaning it handles async operations and large data streams reliably. This keeps your application responsive even when processing thousands of emission logs.

Use it with your favorite AI tools

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