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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.

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Works with every AI agent you already use

…and any MCP-compatible client

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OpenAI Agents SDK

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.

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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.

Setup guide

Set up Nicereply MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with 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. 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. 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.

agent.py
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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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 Nicereply MCP in OpenAI Agents SDK

Install the SDK via pip, then initialize the HTTP transport pointing to your Vinkius endpoint. Pass the server instance directly to your agent constructor to enable auto-discovery.
Yes. The SDK's built-in guardrails inspect the output of tools like `get_response` and `get_survey_stats` before executing down-funnel agent steps.
The SDK supports native agent handoffs, meaning one agent can fetch data using `list_responses` and pass the raw JSON payload to a specialized customer-care agent without losing state.
Set the cacheToolsList parameter to true in your agent configuration. This prevents redundant schema requests to the server on every agent execution.
Vinkius runs the server in an isolated sandbox, keeping your API keys safe. Only the specific survey responses and customer email addresses retrieved via `get_customer` pass through the encrypted transport to your OpenAI dashboard.

Start using the Nicereply MCP today

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