Kong (AI API Gateway) MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Kong (AI API Gateway) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"kong-ai-api-gateway": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Kong (AI API Gateway), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(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.
LangChain's ecosystem of 500+ components combines seamlessly with Kong (AI API Gateway) through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Kong (AI API Gateway) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Kong (AI API Gateway) via MCP
Why Use LangChain with the Kong (AI API Gateway) MCP Server
LangChain provides unique advantages when paired with Kong (AI API Gateway) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Kong (AI API Gateway) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Kong (AI API Gateway) queries for multi-turn workflows
Kong (AI API Gateway) + LangChain Use Cases
Practical scenarios where LangChain combined with the Kong (AI API Gateway) MCP Server delivers measurable value.
RAG with live data: combine Kong (AI API Gateway) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Kong (AI API Gateway), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Kong (AI API Gateway) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Kong (AI API Gateway) tool call, measure latency, and optimize your agent's performance
Kong (AI API Gateway) MCP Tools for LangChain (10)
These 10 tools become available when you connect Kong (AI API Gateway) to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Kong (AI API Gateway) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersKong (AI API Gateway) + LangChain FAQ
Common questions about integrating Kong (AI API Gateway) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.