How to Use the Credly MCP in Mastra AI

Build automated credential workflows in Mastra AI with the Credly MCP Server.

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…and any MCP-compatible client

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Connect Credly MCP to Mastra AI

Create your Vinkius account to connect Credly 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 Credly with Mastra AI

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Claude

Perplexity

Automate credential issuance in Mastra AI

Chain your logic using `list_authorized_issuers` to verify who can grant badges. If a check fails, the Mastra workflow engine handles the retry logic automatically. Your agents can run complex branching tasks. You define the rules, and the server executes the calls to ensure every badge is accounted for.

Audit badge recipients with Mastra AI

Run `list_badge_recipients` to generate reports on credential distribution. Your agent can then trigger follow-up actions based on the specific count of issued items. Handling large lists is simple when your agent manages the pagination. The framework keeps your process moving even if you have thousands of records to process.

Connect organizations with Mastra AI agents

Call `list_connected_organizations` to see every entity linked to your account. Your agents use this data to route requests to the correct organizational workspace. Managing multiple entities is a breeze. The agent identifies the right ID from the tool output and pivots the rest of the workflow accordingly.

Setup guide

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

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

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

Import the MCP client into your agent definition. You then map the tools to your agent, allowing it to call Credly functions during any step of the workflow.

Absolutely. You can set the agent to require human-in-the-loop approval before it executes any badge issuance tool.

It supports standard retry patterns. If an API call fails, the framework catches the error and can trigger a fallback step or alert an admin.

Every request is isolated within the Vinkius sandbox. Your agent only sees the data returned by the specific tools you authorize.

The server touches organization member lists and recipient names. These records live only in the ephemeral agent session and are wiped after the task completes.

Use it with your favorite AI tools

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