How to Use the Nicereply MCP in OpenAI Agents SDK
Feed real-time customer satisfaction metrics directly to your OpenAI Agents SDK pipelines with zero-config tool discovery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Nicereply MCP to OpenAI Agents SDK
Create your Vinkius account to connect Nicereply 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.
Guarded Survey Analytics with OpenAI Agents SDK
Run your production agents with strict safety guardrails while they pull metrics via `get_survey_stats`. The SDK validates every single agent action before it hits the Nicereply API, so you never have to worry about runaway loops or unauthorized data access. Your agent can instantly check `list_surveys` to map out active feedback campaigns. It then coordinates with specialized sub-agents to process the rating data, keeping a clean execution trace on your central dashboard.
Auto-Discover Customer Feedback Paths
Connect this MCP Server to your runtime using the streamable HTTP transport class. The SDK automatically registers tools like `get_customer` and `list_responses` without manual schema mapping. This setup lets your support agents instantly look up a user's satisfaction history when a new ticket opens. If an agent needs to hand off the task, the SDK preserves the context of the `get_response` payload across the entire pipeline.
Agent Handoffs for Negative Ratings
Build a multi-agent system where a triage agent monitors incoming scores using `get_rating_values`. When a bad score lands, the agent hands the context off to a dedicated recovery agent. The recovery agent uses `list_users` to find the original support rep who handled the ticket. It then pulls the full interaction history via `get_survey` to draft a highly specific, personalized apology email.
Set up Nicereply 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 Nicereply tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Nicereply tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Nicereply 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="Nicereply Agent",
instructions="You have access to Nicereply 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 Nicereply. 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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Real-time monitoring
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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
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Single dashboard
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place for every integration
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Common questions about Nicereply MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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