Kong (AI API Gateway) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Kong (AI API Gateway) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Kong (AI API Gateway). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Kong (AI API Gateway)?"
)
print(response)
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.
LlamaIndex agents combine Kong (AI API Gateway) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Kong (AI API Gateway) MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Kong (AI API Gateway)
Why Use LlamaIndex with the Kong (AI API Gateway) MCP Server
LlamaIndex provides unique advantages when paired with Kong (AI API Gateway) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Kong (AI API Gateway) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Kong (AI API Gateway) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Kong (AI API Gateway), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Kong (AI API Gateway) tools were called, what data was returned, and how it influenced the final answer
Kong (AI API Gateway) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Kong (AI API Gateway) MCP Server delivers measurable value.
Hybrid search: combine Kong (AI API Gateway) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Kong (AI API Gateway) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Kong (AI API Gateway) for fresh data
Analytical workflows: chain Kong (AI API Gateway) queries with LlamaIndex's data connectors to build multi-source analytical reports
Kong (AI API Gateway) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Kong (AI API Gateway) to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Kong (AI API Gateway) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKong (AI API Gateway) + LlamaIndex FAQ
Common questions about integrating Kong (AI API Gateway) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.