How to Use the Certifier MCP in Mastra AI

Q: How do I register the Certifier MCP Server inside a Mastra AI Agent?

Instantiate the MCPClient pointing to the Vinkius URL, then call listTools(). Spread those MCP tools directly into your Mastra AI Agent configuration to give it full credentialing capabilities.

Q: Can I write a Mastra AI workflow that retries failed Certifier badge creation?

Yes, you can wrap createcredential in a Mastra AI workflow step with custom retry logic. If the Certifier API is temporarily down, the workflow pauses and retries before moving to the issuance step.

Q: How does Mastra AI handle human-in-the-loop validation for Certifier drafts?

You configure your Mastra AI agent to use requireToolApproval on the issuecredential tool. The agent creates the draft, pauses for your manual OK, and then publishes the certificate once you approve.

Q: What tool should my agent use to confirm the API connection is active?

The agent should run checkcertifierstatus at the start of a workflow. This quick ping ensures the API is responsive before your agent attempts to process high-volume badge runs.

Build automated Mastra AI workflows that issue, verify, and email Certifier credentials with built-in retry logic.

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Automated credential workflows with Mastra AI

`create_credential` initiates your automated certification pipeline inside a Mastra AI workflow step. If the initial API call fails due to network hiccups, Mastra's engine automatically retries the tool with exponential backoff. Once the draft is ready, the workflow branches based on user status. Your agent checks the output and proceeds to issue the badge, handling errors gracefully without crashing your backend.

Safe multi-step issuance using this MCP Server

Your Mastra AI agent runs `issue_credential` only after verifying template requirements match. You can set up a human-in-the-loop approval step using Mastra's approval system before locking in the certificate. This ensures no accidental certificates get published. Following approval, the agent executes `send_credential` to email the final badge to the student's inbox automatically.

Dynamic template lookups for automated courses

`list_credential_templates` lets your Mastra AI agent fetch active templates during workflow execution. The agent matches the course ID from your database with the correct Certifier template on the fly. If a template is missing, the workflow triggers a conditional branch. Setting up an alert step in Mastra notifies your team instead of attempting to build a broken credential.

Setup guide

Set up Certifier 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 Certifier 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: "certifier-mcp-client",
  servers: {
    "certifier-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Certifier 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 Certifier. 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 Certifier MCP in Mastra AI

Instantiate the `MCPClient` pointing to the Vinkius URL, then call `listTools()`. Spread those MCP tools directly into your Mastra AI Agent configuration to give it full credentialing capabilities.

Yes, you can wrap `create_credential` in a Mastra AI workflow step with custom retry logic. If the Certifier API is temporarily down, the workflow pauses and retries before moving to the issuance step.

You configure your Mastra AI agent to use `requireToolApproval` on the `issue_credential` tool. The agent creates the draft, pauses for your manual OK, and then publishes the certificate once you approve.

The agent should run `check_certifier_status` at the start of a workflow. This quick ping ensures the API is responsive before your agent attempts to process high-volume badge runs.

Your recipient names and template configurations exist only in memory during the workflow execution. The MCP server runs the code in ephemeral sandbox environments, leaving zero traces of student data behind.

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