Nicereply MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Nicereply through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Nicereply Assistant",
instructions=(
"You help users interact with Nicereply. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Nicereply"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Nicereply MCP Server
Connect your Nicereply account to your AI agent and gain deep insights into your customer satisfaction and agent performance through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Nicereply through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Nicereply, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Response Monitoring — List and inspect all customer satisfaction ratings and feedback responses in real-time.
- Survey Analytics — Access CSAT, CES, and NPS surveys and retrieve detailed performance metrics and statistics.
- Agent Performance — List workspace users and monitor their individual ratings and feedback scores.
- Customer Insights — View customer profiles and their historical feedback patterns.
- Rating Standards — Retrieve the definitions of rating values and scales used across your surveys.
- Deep Inspection — Fetch complete metadata for specific responses or surveys using their unique IDs.
The Nicereply MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Nicereply to OpenAI Agents SDK via MCP
Follow these steps to integrate the Nicereply MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Nicereply
Why Use OpenAI Agents SDK with the Nicereply MCP Server
OpenAI Agents SDK provides unique advantages when paired with Nicereply through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Nicereply + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Nicereply MCP Server delivers measurable value.
Automated workflows: build agents that query Nicereply, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Nicereply, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Nicereply tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Nicereply to resolve tickets, look up records, and update statuses without human intervention
Nicereply MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Nicereply to OpenAI Agents SDK via MCP:
get_customer
Get specific customer details
get_me
Get current user details
get_rating_values
List possible rating values
get_response
Get specific response details
get_survey
Get specific survey details
get_survey_stats
Get survey statistics
list_customers
List Nicereply customers
list_responses
List feedback responses
list_surveys
List all surveys
list_users
List workspace users (agents)
Example Prompts for Nicereply in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Nicereply immediately.
"Show me the latest customer feedback responses."
"What is the current performance of our CSAT survey?"
"List all active surveys in my Nicereply account."
Troubleshooting Nicereply MCP Server with OpenAI Agents SDK
Common issues when connecting Nicereply to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Nicereply + OpenAI Agents SDK FAQ
Common questions about integrating Nicereply MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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Microsoft's framework for multi-agent collaborative conversations.
Connect Nicereply to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.