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How to Use the NMKR Cardano MCP in Mastra AI

Build reliable multi-step Cardano minting workflows with automatic retries using Mastra AI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect NMKR Cardano MCP to Mastra AI

Create your Vinkius account to connect NMKR Cardano 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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Automate coupon balance monitoring

Monitoring your pre-paid mints is handled by the `get_mint_coupon_balance` tool. Mastra AI can run this check at the start of an automated MCP pipeline, triggering an alert or pausing the workflow if your balance drops below your specified threshold. If the API call encounters a temporary network glitch, the Mastra AI workflow engine automatically retries with exponential backoff. This prevents your background automation from crashing during high-congestion periods on the Cardano network.

Conditional revenue splits with Mastra AI

Retrieving configured revenue sharing setups from NMKR is done via the `list_split_addresses` tool. Using these addresses, Mastra AI routes payouts dynamically based on custom business logic you define in your workflow. Building a branch where the agent verifies the split structure before initiating a transfer is straightforward. Whenever the configuration doesn't match your database, Mastra AI pauses the execution and waits for manual approval.

Manage sub-customers inside Mastra AI agents

Fetching managed accounts linked to your primary NMKR profile relies on the `list_subcustomers` tool. Our integration lets a Mastra AI agent use this MCP Server to iterate through this list and check active account statuses. Developers can easily provision, track, and manage multi-tenant setups without writing custom database sync scripts. Your agent queries the live endpoint and handles routing automatically.

Setup guide

Set up NMKR Cardano 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All NMKR Cardano tools become native Mastra tools.

  4. 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: "nmkr-cardano-mcp-client",
  servers: {
    "nmkr-cardano-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NMKR. 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 NMKR Cardano MCP in Mastra AI

Install `@mastra/mcp@latest` and register the MCP Server URL. You can then retrieve the tool definitions with `listTools()` and spread them directly into your agent's configuration.
Yes, Mastra AI has a built-in workflow engine that supports automatic retries. If an endpoint like `get_project_counts` fails due to a network timeout, the engine retries the call before failing the execution.
Yes. You can configure `requireToolApproval` on tools like `validate_nft_metadata` to force a human review before the agent proceeds with the workflow.
Mastra AI supports one-command deployment to popular cloud platforms. The MCP Server connection is maintained securely over standard HTTP or SSE transports.
Mastra AI runs your agents on your own server infrastructure, meaning your NMKR project IDs and API keys are never exposed to third-party logs. The Vinkius gateway handles the secure transport, keeping your credentials isolated.

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