How to Use the Apache APISIX MCP in OpenAI Agents SDK
Spin up safe, production-ready OpenAI Agents SDK workflows that directly control your Apache APISIX gateway without custom API glue.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Apache APISIX MCP to OpenAI Agents SDK
Create your Vinkius account to connect Apache APISIX to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Dynamic Upstream and Route Management
Your OpenAI agents can now hot-patch gateway configurations on the fly. By connecting this MCP Server, the agent analyzes traffic anomalies and calls `put_route` or `put_upstream` to reroute traffic or swap backends without a restart. If a backend service fails, the agent reads health checks via `get_control_healthcheck` and instantly applies a new `put_service` configuration. You get self-healing API infrastructure driven directly by OpenAI's tool-calling loop.
Secure Consumer Management via OpenAI Agents SDK
Offload API key and consumer group management to autonomous OpenAI agents. This MCP Server exposes tools like `put_consumer` and `put_consumer_group` so your agent can provision access tiers dynamically. When an enterprise customer upgrades, the agent updates their rate limits using `put_plugin_config`. Built-in SDK guardrails ensure the agent never deletes critical admin consumers by accident.
Real-time Gateway Diagnostics and Garbage Collection
Debugging Lua memory leaks or stale routes usually requires manual terminal access. Your agent uses `trigger_control_gc` and `reload_control_plugins` to clean up the HTTP Lua VM when performance degrades. By dumping active routes with `dump_control_routes`, the agent compares live gateway state against your GitOps files. It detects drift instantly and alerts your team over Slack with the exact diff.
Set up Apache APISIX MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Apache APISIX tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Apache APISIX tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Apache APISIX tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Apache APISIX Agent",
instructions="You have access to Apache APISIX tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Apache APISIX. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Apache APISIX MCP in OpenAI Agents SDK
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