Can I use this server to manage Kong's AI Proxy plugin?

Absolutely. The `create_ai_plugin` tool is specifically designed to inject the `ai-proxy` plugin onto Services. You can define providers like OpenAI or Anthropic and manage model routing directly through your agent.

How do I create a new API route through a conversation?

Use the `create_route` tool and provide a JSON payload defining the paths and the Service ID it should point to. Your agent will handle the Admin API call to provision the routing rule instantly.

Can my agent generate new API keys for consumers?

Yes. The `create_consumer_key` tool allows you to provision new credentials for specific Consumers. This is perfect for onboarding new tenants or rotating keys for downstream applications securely.

Kong (AI API Gateway) MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Kong (AI API Gateway)
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Kong (AI API Gateway) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="kong_ai_api_gateway_agent",
    instruction=(
        "You help users interact with Kong (AI API Gateway) "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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Ed25519Audit chain

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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 Kong (AI API Gateway) MCP Server

Connect your Kong API Gateway instance to any AI agent and take full control of your API lifecycle and AI traffic management through natural conversation.

Google ADK natively supports Kong (AI API Gateway) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Service Orchestration — List backend services and create new upstream definitions defining URLs and protocols directly from your agent
Route Management — Configure inbound routing rules to map client requests to backend services based on specific paths or hostnames
AI Plugin Control — Apply and configure the ai-proxy plugin to enable LLM routing, model providers, and key encapsulation securely
Operational Patching — Update existing plugin configurations in real-time, allowing you to adjust rate limits or swap AI models dynamically
Consumer CRM — Manage consumer profiles and generate API keys for key-auth plugins to track specific user or tenant usage
Infrastructure Audit — Discover enabled plugins across your gateway and remove unused modules instantly to maintain a clean proxy pipeline

The Kong (AI API Gateway) MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 Kong (AI API Gateway) to Google ADK via MCP

Follow these steps to integrate the Kong (AI API Gateway) MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Kong (AI API Gateway) via MCP

Why Use Google ADK with the Kong (AI API Gateway) MCP Server

Google ADK provides unique advantages when paired with Kong (AI API Gateway) through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Kong (AI API Gateway)

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Kong (AI API Gateway) tools with BigQuery, Vertex AI, and Cloud Functions

Kong (AI API Gateway) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Kong (AI API Gateway) MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Kong (AI API Gateway) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Kong (AI API Gateway) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Kong (AI API Gateway) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Kong (AI API Gateway)

Kong (AI API Gateway) MCP Tools for Google ADK (10)

These 10 tools become available when you connect Kong (AI API Gateway) to Google ADK via MCP:

create_ai_plugin

Frequently used for enabling the `ai-proxy` plugin for LLM routing and key encapsulation. Apply a new Plugin (like AI Proxy) to a specific Service

create_consumer_key

Generate an API Key credential for a Kong Consumer

create_route

Create a new Route to expose a Service in Kong

create_service

The payload must define the upstream URL, name, and protocol information. Create a new backend Service in Kong

delete_plugin

Delete and permanently remove a Plugin from the Kong Gateway

list_consumers

List all Consumer profiles registered in Kong

list_plugins

g., Rate Limiting, AI Proxy, Key Auth) currently configured globally or scoped to specific Services/Routes. List all enabled Plugins on the Kong Gateway

list_routes

List all routing rules configured in the Kong API Gateway

list_services

List all Services registered in the Kong API Gateway

update_plugin

Useful for adjusting rate limits dynamically or swapping AI model providers under heavy load. Update the configuration of an existing Kong Plugin

Example Prompts for Kong (AI API Gateway) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Kong (AI API Gateway) immediately.

"List all registered services in my Kong Gateway"

"Add the 'ai-proxy' plugin to service ID '123-abc' using OpenAI"

"Who are the registered consumers in our gateway?"

Troubleshooting Kong (AI API Gateway) MCP Server with Google ADK

Common issues when connecting Kong (AI API Gateway) to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Kong (AI API Gateway) + Google ADK FAQ

Common questions about integrating Kong (AI API Gateway) MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.