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Vinkius runs on Cursor

How to Use the SkootEco MCP in Cursor

Inject live SkootEco compliance data directly into your code using Cursor's Agent mode.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on Cursor

Connect SkootEco MCP to Cursor

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

GDPR Included with Plan

Key Capabilities

Verify Emissions and Context in Code

Writing a service layer that needs to log emission data? The `get_emissions` tool provides the live total figures. Your agent can call this function, get the actual number back, and inject it right into the variable you're defining. This eliminates mock data headaches. Instead of using stubs for current impact metrics, your code uses real-time results from `get_emissions_by_scope`.

Automate Offset Calculations in Code

Building a payment gateway that calculates offset costs? The agent can use `get_offset` to pull current pricing details. It then uses these live numbers when writing the purchase logic for the `purchase_offset` tool. If you need to track physical mitigation, the flow is simple: call `get_project` and inject the required project ID into your code's parameters.

Generate Code Based on Impact Metrics

Your task is writing a reporting function that needs key metrics. Use the `get_metrics` tool to fetch the raw data points needed. The agent then writes the specific formatting and calculation logic around those live results. Alternatively, if you need to count environmental assets, calling `get_tree_count` gives the immediate integer value you can use in a conditional statement.

Setup guide

Set up SkootEco MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the SkootEco MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent SkootEco transactions." If the MCP tools are loaded correctly, Cursor will call the SkootEco tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "skooteco-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about SkootEco MCP in Cursor

Start by invoking `check_skooteco_status`. The live response confirms the API is up and running. This validates that your code's initial dependency checks will pass.
The server manages structured environmental metrics, including emission totals by scope, specific project details from `list_projects`, and account status. You're dealing with quantitative, auditable data.
Yes. The `get_report` tool retrieves the summary data you need to write your final output function. It provides all necessary figures in one live API response, ready for consumption by your code.
You create a `.cursor/mcp.json` file in the project root or use the global config. This tells Cursor's agent mode exactly where to find the server endpoint.
The core set includes all emission logging and retrieval functions (`add_emission`, `get_emissions`), along with the mitigation actions like `plant_tree` and `list_categories`.

Start using the SkootEco MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 18 tools

We've already built the connector for SkootEco. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
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