Kong (AI API Gateway) MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Kong (AI API Gateway) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Kong (AI API Gateway), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every Kong (AI API Gateway) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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-proxyplugin 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-authplugins 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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Kong (AI API Gateway) MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Kong (AI API Gateway) and passes them to the LLM
Why Use Vercel AI SDK with the Kong (AI API Gateway) MCP Server
Vercel AI SDK provides unique advantages when paired with Kong (AI API Gateway) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Kong (AI API Gateway) integration everywhere
Built-in streaming UI primitives let you display Kong (AI API Gateway) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Kong (AI API Gateway) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kong (AI API Gateway) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kong (AI API Gateway) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kong (AI API Gateway) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kong (AI API Gateway) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kong (AI API Gateway) through natural language queries
Kong (AI API Gateway) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Kong (AI API Gateway) to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Kong (AI API Gateway) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKong (AI API Gateway) + Vercel AI SDK FAQ
Common questions about integrating Kong (AI API Gateway) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Kong (AI API Gateway) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kong (AI API Gateway) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.