How to Use the Upstash Redis MCP in OpenAI Agents SDK
Give your OpenAI Agents SDK the power to manage key/value data directly.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Upstash Redis MCP to OpenAI Agents SDK
Create your Vinkius account to connect Upstash Redis 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.
Check Redis Status with MCP Server
Need to know if the connection's good? Use `ping` to verify connectivity instantly. Your agent runs a quick check, confirming the Redis instance is up and ready for action.
Updating Data State in OpenAI Agents SDK
Use the `set` tool to write data or refresh it. You can specify an expiration time right away, so you don't accidentally keep old records forever. This keeps your agent’s memory clean and current.
Monitoring Keys with MCP Server
Want visibility into what data exists? The `get_key_info` tool tells you the data type and how long a key is valid for. This helps your agent decide if it should even bother trying to read or update that specific piece of data.
Set up Upstash Redis 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 Upstash Redis tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Upstash Redis tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Upstash Redis 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="Upstash Redis Agent",
instructions="You have access to Upstash Redis 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 Upstash Redis. 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.
Why Choose Vinkius
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Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Upstash Redis MCP in OpenAI Agents SDK
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