How to Use the Kong Gateway MCP in Mastra AI

Q: How do I register the Kong Gateway MCP tools in Mastra AI?

Instantiate the MCPClient using @mastra/mcp and point it to the Vinkius URL. You then fetch the tool list using mcpClient.listTools() and pass them directly into your agent definition. This exposes tools like createservice and createroute to your agent.

Q: Can I require manual approval for destructive Kong Gateway actions in Mastra AI?

Yes, you can set requireToolApproval on critical tools like deleteservice or deleteconsumer. Mastra AI halts the workflow and waits for external confirmation before sending the delete request to your gateway. This protects your production environment from accidental deletions.

Build resilient, self-healing API gateway workflows with Mastra AI and our Kong Gateway integration.

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Connect Kong Gateway MCP to Mastra AI

Create your Vinkius account to connect Kong Gateway 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 Kong Gateway with Mastra AI

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The `get_status` and `update_plugin` tools let your workflows monitor gateway health and apply rate limits when traffic spikes. If a service experiences high error rates, Mastra AI triggers conditional branches to protect your backend. You can build workflows that automatically inject rate-limiting plugins when an endpoint is under load. The agent handles the detection and mitigation using the MCP server, keeping your APIs online without manual intervention.

Safe configuration rollbacks and retries

The `update_route` and `update_service` tools allow you to modify your API setup with built-in safety nets. If a route update fails or causes errors, Mastra's workflow engine automatically retries the operation or rolls back the changes. You do not have to write complex error-handling logic for API gateway failures. The integration handles the API calls, while the framework ensures that any failed configuration step triggers a fallback block to restore the previous state.

Human-in-the-loop gateway approvals

The `create_plugin` and `delete_route` tools on this MCP server can be locked behind manual confirmation steps. You configure the agent to draft the API gateway changes and pause for an engineer's sign-off before applying them. This setup gives you the speed of agentic configuration with the security of human oversight. Your team receives a Slack alert or dashboard notification, reviews the proposed change, and approves it with a single click.

Setup guide

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

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

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

Instantiate the `MCPClient` using `@mastra/mcp` and point it to the Vinkius URL. You then fetch the tool list using `mcpClient.listTools()` and pass them directly into your agent definition. This exposes tools like `create_service` and `create_route` to your agent.

The workflow engine uses built-in retries with exponential backoff when tool calls like `list_routes` hit rate limits. If the admin API returns a 429 status code, the agent pauses and retries the call automatically. This prevents your orchestration workflows from failing due to temporary API throttles.

Yes, you can set `requireToolApproval` on critical tools like `delete_service` or `delete_consumer`. Mastra AI halts the workflow and waits for external confirmation before sending the delete request to your gateway. This protects your production environment from accidental deletions.

You define a sequential workflow where the agent first runs `create_service`, grabs the resulting ID, and then passes it to `create_route`. Mastra AI manages the state between these steps, ensuring the route is correctly linked to the new service.

Your admin tokens and API gateway configurations are stored securely within your Vinkius environment variables. This MCP server only accesses the Kong admin endpoint to execute specific tool calls. Your sensitive configuration data is never cached or used for training models.

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