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Traefik Hub MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Traefik Hub through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "traefik-hub": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Traefik Hub Agent",
    instructions:
      "You help users interact with Traefik Hub " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Traefik Hub?"
  );
  console.log(result.text);
}

main();
Traefik Hub
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IAMAccess control
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V8 IsolateSandboxed
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Traefik Hub MCP Server

What you can do

Establish explicit logic bounds running native API management utilizing the Traefik SaaS platform securely mapping ingress proxies:

Mastra's agent abstraction provides a clean separation between LLM logic and Traefik Hub tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

  • Discover API Scopes natively enumerating active integrations governed deeply inside workspaces
  • Monitor Traffic Latency isolating telemetries tracking explicitly successful gateways hits securely
  • Govern Application Limits determining explicitly which logical schemas and users are approved for ingress
  • Approve OAuth Tokens running logic bindings natively to bridge external applications downstream
  • Map Native Clusters natively dumping arrays checking proxy deployment status bounds inside K8s loops
  • Block Intruders Fast explicitly invoking subscription revocations severing idle logic explicitly inside the node

The Traefik Hub MCP Server exposes 8 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Traefik Hub to Mastra AI via MCP

Follow these steps to integrate the Traefik Hub MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 8 tools from Traefik Hub via MCP

Why Use Mastra AI with the Traefik Hub MCP Server

Mastra AI provides unique advantages when paired with Traefik Hub through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Traefik Hub without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Traefik Hub tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Traefik Hub + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Traefik Hub MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Traefik Hub, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Traefik Hub as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Traefik Hub on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Traefik Hub tools alongside other MCP servers

Traefik Hub MCP Tools for Mastra AI (8)

These 8 tools become available when you connect Traefik Hub to Mastra AI via MCP:

01

traefik_approve_subscription

Deploy a manual accept bridging logic tokens successfully granting ingress traversal

02

traefik_get_agent_health

Evaluate the operational execution limits testing liveness probes across ingress hubs

03

traefik_get_api_metrics

Observe structured execution telemetries aggregating error traces and explicit API latencies

04

traefik_list_active_agents

Locate explicitly hosted Traefik Ingress deployment pods mapped dynamically onto the hub

05

traefik_list_apis

Dumps the central directory of published internal and external HTTP APIs routing across the Gateway

06

traefik_list_subscriptions

Map explicitly tracked external identities attempting logic access over proxy portals

07

traefik_list_workspaces

Enumerate active logic scopes organizing namespaces and API Portals inside Traefik Hub

08

traefik_revoke_subscription

Ban and completely tear down an active API consumer token gracefully

Example Prompts for Traefik Hub in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Traefik Hub immediately.

01

"Scan explicitly active logic bounds listing all deployed Kubernetes Traefik Agents across our namespace hubs completely."

02

"Deny active third party application logic limits explicitly mapping the execution onto subscription ID 'uuid-abc-123' natively."

03

"Dump explicit gateway latencies bounding logic usage limits across the deployed API instance mapping."

Troubleshooting Traefik Hub MCP Server with Mastra AI

Common issues when connecting Traefik Hub to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Traefik Hub + Mastra AI FAQ

Common questions about integrating Traefik Hub MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Traefik Hub to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.