How to Use the Judge.me MCP in OpenAI Agents SDK
Build production-ready OpenAI Agents SDK systems that moderate Judge.me reviews, answer customer questions, and trace every API call.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Judge.me MCP to OpenAI Agents SDK
Create your Vinkius account to connect Judge.me 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.
Automate Moderation via MCP Server
You don't want agents randomly publishing reviews. By hooking up this MCP Server, your agent can poll `list_reviews` to find unmoderated feedback. It reads the text, checks against your safety constraints, and flags risky content before it hits your storefront. If a review needs a deeper look, the agent pulls exact metadata using `get_review`. You get full tracing in the OpenAI dashboard. You know exactly why the agent flagged a one-star rant and which policy it violated.
Handle Customer Q&A at Scale
Shoppers ask questions, and leaving them hanging kills conversions. Your agent monitors `list_questions` to spot new inquiries. Instead of guessing, it can check `list_answers` to see how human support handled similar issues in the past. When the agent drafts a response, it pulls exact item specs via `get_product`. The built-in guardrails ensure the agent only responds based on actual product data. No hallucinated warranties. No fake features.
Audit Incentives and Media
People upload wild things in product reviews. Your agent pulls visual feedback using `list_medias` and hands it off to a specialized moderation agent. It catches inappropriate images before they go live on your product pages. You can also track the discount codes driving these reviews. The agent runs `list_coupons` to audit active incentive programs. It cross-references rewards with actual published feedback to ensure your marketing spend actually generates social proof.
Set up Judge.me 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 Judge.me tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Judge.me tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Judge.me 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="Judge.me Agent",
instructions="You have access to Judge.me 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 Judge.me. 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 Judge.me MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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