How to Use the Traefik Hub MCP in Mastra AI

Q: How does Traefik Hub help manage failure states with Mastra AI?

You use traefikgetapimetrics to observe structured execution telemetries. If a step fails, the agent gets error traces and explicit API latencies immediately, allowing your workflow engine to decide if it should retry or escalate the issue.

Q: Can Traefik Hub list all possible scopes for Mastra AI?

Yes. Calling traefiklistworkspaces enumerates active logic scopes, organizing namespaces and API Portals within Traefik Hub. This helps your developer define the full context of any multi-step workflow.

Q: Does Traefik Hub help with auditing access for Mastra AI?

Absolutely. Run traefiklistsubscriptions to map every external identity attempting logic access. This audit trail is vital when debugging a complex, multi-step process that might fail hours after deployment.

Q: What if I need to approve access for Mastra AI?

Use traefikapprovesubscription to manually accept bridging logic tokens and grant ingress traversal. This is perfect for human-in-the-loop workflows where a developer needs to confirm an external service connection before the agent can proceed.

Build resilient, multi-step workflows that handle failure and retry using Mastra AI with the Traefik Hub MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Traefik Hub MCP to Mastra AI

Create your Vinkius account to connect Traefik Hub 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.

GDPR Free for Subscribers

Setup Traefik Hub with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate all internal endpoints

The `traefik_list_apis` tool dumps a central directory of published HTTP APIs routing across your Gateway. Mastra AI uses this list to verify every possible step in a workflow before execution, ensuring that the retry logic has viable alternative endpoints available. When building complex workflows, you don't want a single failure point. Checking all potential APIs first means your automated retries or fallback steps won't fail because they were pointing nowhere.

Check gateway operational status

You can use `traefik_get_agent_health` to evaluate the operational execution limits across ingress hubs. This is critical for Mastra AI, which depends on knowing if its target service is actually up and running before committing a step in a workflow. If a required microservice fails its liveness probe, your multi-step process doesn't just crash; it triggers a controlled failure path or initiates the exponential backoff retry sequence.

Control access to sensitive APIs

Need to lock down an endpoint? `traefik_revoke_subscription` lets you ban and completely tear down an active API consumer token. Mastra AI runs this tool when a workflow detects suspicious activity or requires manual intervention, instantly cutting off unauthorized data flows. This capability guarantees that even if a step in your automated process goes wrong due to bad input, the subsequent steps can't accidentally leak information because the required credentials are already invalid.

Setup guide

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

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

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

Get your connection token →

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

Connect Traefik Hub now

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 Traefik Hub MCP in Mastra AI

You use `traefik_get_api_metrics` to observe structured execution telemetries. If a step fails, the agent gets error traces and explicit API latencies immediately, allowing your workflow engine to decide if it should retry or escalate the issue.

Yes. Calling `traefik_list_workspaces` enumerates active logic scopes, organizing namespaces and API Portals within Traefik Hub. This helps your developer define the full context of any multi-step workflow.

Absolutely. Run `traefik_list_subscriptions` to map every external identity attempting logic access. This audit trail is vital when debugging a complex, multi-step process that might fail hours after deployment.

Use `traefik_approve_subscription` to manually accept bridging logic tokens and grant ingress traversal. This is perfect for human-in-the-loop workflows where a developer needs to confirm an external service connection before the agent can proceed.

This server touches API consumer tokens and identity subscription information. By monitoring `traefik_list_subscriptions`, your workflow can ensure that the agent only interacts with services explicitly authorized by the user.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript