How to Use the Corrently Energy MCP in Mastra AI

Q: Can Mastra AI handle human-in-the-loop approval for Corrently Energy scheduling?

Yes, use Mastra's requireToolApproval feature on critical tools like createenergyschedule. This pauses the workflow and waits for a human to confirm before generating an active charging plan.

Q: How does Corrently Energy integrate with Mastra AI workflow retries?

If the getmarketdata tool fails due to network issues, Mastra's built-in engine catches the error. It automatically retries the call using your configured backoff strategy before failing the workflow.

Build resilient, automated German energy workflows with Mastra AI and the Corrently Energy MCP Server.

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Connect Corrently Energy MCP to Mastra AI

Create your Vinkius account to connect Corrently Energy to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Corrently Energy with Mastra AI

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Automated Energy Decisions with Mastra AI Workflows

This MCP Server connects your automated workflows to real-time German energy decisions. Build multi-step agents that don't fall over when German grid APIs hiccup. We expose tools like `get_phev_charge_or_fuel` to let your workflows decide whether a hybrid vehicle should fuel up or plug in. Mastra handles the logic gates and retries for these grid queries. If a price check fails, the workflow engine automatically retries with exponential backoff before committing to a charging schedule.

Conditional Scheduling Based on Grid Carbon Intensity

This MCP Server allows your workflows to schedule heavy industrial loads based on when the local power grid is clean. By combining Mastra's workflow engine with `get_co2_prediction` and `get_gsi_prediction`, you pause execution until the Green Power Index hits a specific threshold. The agent continuously checks the forecast for a specific five-digit German zip code. Once the grid conditions match your target, the workflow triggers the next step to start your machinery.

Automated Stromkonto Balance Auditing

This MCP Server enables autonomous agents to monitor green energy certificates and account balances. Using `get_stromkonto_balance`, your agent can track credits and verify transaction histories without human oversight. Write custom Mastra triggers that alert your team when a Stromkonto balance drops below a threshold. Mastra handles the scheduling and execution, keeping your energy ledgers accurate and up to date.

Setup guide

Set up Corrently Energy MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Corrently Energy tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "corrently-energy-mcp-client",
  servers: {
    "corrently-energy-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Corrently Energy Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Corrently Energy tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Corrently Energy transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Corrently Energy. 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.

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Common questions about Corrently Energy MCP in Mastra AI

Initialize the client with the server's SSE URL to fetch tools and spread them directly into your agent configuration. Install the Mastra MCP package first to establish the connection.

Yes, use Mastra's `requireToolApproval` feature on critical tools like `create_energy_schedule`. This pauses the workflow and waits for a human to confirm before generating an active charging plan.

If the `get_market_data` tool fails due to network issues, Mastra's built-in engine catches the error. It automatically retries the call using your configured backoff strategy before failing the workflow.

No, the basic tools work out of the box. However, if you are running heavy workflows, pass an optional token parameter to tools like `get_gsi_prediction` to access higher rate limits.

Absolutely. The connection uses zero-trust architecture where Stromkonto account keys are passed directly through encrypted headers. No account identifiers are logged or stored on the hosting platform.

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