Kong Gateway MCP Server for LlamaIndexGive LlamaIndex instant access to 40 tools to Create Certificate, Create Consumer, Create Plugin, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Kong 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 for LlamaIndex
The Kong Gateway MCP Server for LlamaIndex is a standout in the Friends Mcp category — giving your AI agent 40 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Gateway. "
"You have 40 tools available."
),
)
response = await agent.run(
"What tools are available in Kong 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 Gateway MCP Server
Connect your Kong Gateway Admin API to any AI agent and take full control of your API management lifecycle through natural conversation.
LlamaIndex agents combine Kong Gateway tool responses with indexed documents for comprehensive, grounded answers. Connect 40 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
- Services & Routes — List, create, and update upstream services and their associated routing rules to manage traffic flow.
- Consumer Management — Query and manage API consumers, allowing you to track users and applications interacting with your gateway.
- Plugin Configuration — Inspect and manage plugins for authentication, rate limiting, and logging across your services and routes.
- Upstreams & Targets — Configure load balancing by managing upstreams and their health-checked targets.
- SSL/TLS Management — List and update certificates and SNIs to ensure secure communication across your endpoints.
- System Health — Retrieve real-time status and information about your Kong instance to monitor performance.
The Kong Gateway MCP Server exposes 40 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 40 Kong Gateway tools available for LlamaIndex
When LlamaIndex connects to Kong Gateway through Vinkius, your AI agent gets direct access to every tool listed below — spanning api-gateway, microservices, traffic-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create certificate on Kong Gateway
Create a new Kong Certificate
Create consumer on Kong Gateway
Create a new Kong Consumer
Create plugin on Kong Gateway
Create a new Kong Plugin
Create route on Kong Gateway
Create a new Kong Route
Create service on Kong Gateway
Create a new Kong Service
Create sni on Kong Gateway
Create a new Kong SNI
Create target on Kong Gateway
Create a new Target for an Upstream
Create upstream on Kong Gateway
Create a new Kong Upstream
Delete certificate on Kong Gateway
Delete a Kong Certificate
Delete consumer on Kong Gateway
Delete a Kong Consumer
Delete plugin on Kong Gateway
Delete a Kong Plugin
Delete route on Kong Gateway
Delete a Kong Route
Delete service on Kong Gateway
Delete a Kong Service
Delete sni on Kong Gateway
Delete a Kong SNI
Delete target on Kong Gateway
Delete a Target from an Upstream
Delete upstream on Kong Gateway
Delete a Kong Upstream
Get certificate on Kong Gateway
Get details for a specific Kong Certificate
Get consumer on Kong Gateway
Get details for a specific Kong Consumer
Get info on Kong Gateway
Retrieve general information about the Kong node
Get plugin on Kong Gateway
Get details for a specific Kong Plugin
Get route on Kong Gateway
Get details for a specific Kong Route
Get service on Kong Gateway
Get details for a specific Kong Service
Get sni on Kong Gateway
Get details for a specific Kong SNI
Get status on Kong Gateway
Retrieve the status of the Kong node
Get upstream on Kong Gateway
Get details for a specific Kong Upstream
List certificates on Kong Gateway
List all Kong Certificates
List consumers on Kong Gateway
List all Kong Consumers
List plugins on Kong Gateway
List all Kong Plugins
List routes on Kong Gateway
List all Kong Routes
List services on Kong Gateway
List all Kong Services
List snis on Kong Gateway
List all Kong SNIs
List targets on Kong Gateway
List all Targets for an Upstream
List upstreams on Kong Gateway
List all Kong Upstreams
Update certificate on Kong Gateway
Update an existing Kong Certificate
Update consumer on Kong Gateway
Update an existing Kong Consumer
Update plugin on Kong Gateway
Update an existing Kong Plugin
Update route on Kong Gateway
Update an existing Kong Route
Update service on Kong Gateway
Update an existing Kong Service
Update sni on Kong Gateway
Update an existing Kong SNI
Update upstream on Kong Gateway
Update an existing Kong Upstream
Connect Kong Gateway to LlamaIndex via MCP
Follow these steps to wire Kong Gateway into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Kong Gateway MCP Server
LlamaIndex provides unique advantages when paired with Kong Gateway through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Kong Gateway tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Kong Gateway tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Kong Gateway, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Kong Gateway tools were called, what data was returned, and how it influenced the final answer
Kong Gateway + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Kong Gateway MCP Server delivers measurable value.
Hybrid search: combine Kong Gateway real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Kong 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 Gateway for fresh data
Analytical workflows: chain Kong Gateway queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Kong Gateway in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Kong Gateway immediately.
"List all services currently configured in Kong."
"Create a new service named 'auth-api' pointing to 'http://auth.internal'."
"What is the current status of my Kong Gateway node?"
Troubleshooting Kong Gateway MCP Server with LlamaIndex
Common issues when connecting Kong Gateway to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKong Gateway + LlamaIndex FAQ
Common questions about integrating Kong 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?
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