How to Use the AskNicely MCP in OpenAI Agents SDK
Connect AskNicely to the OpenAI Agents SDK via an MCP Server to trigger NPS surveys and track customer sentiment.
Works with every AI agent you already use
…and any MCP-compatible client
Connect AskNicely MCP to OpenAI Agents SDK
Create your Vinkius account to connect AskNicely 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.
Deploy surveys via OpenAI Agents SDK
The `trigger_survey` tool adds a contact and immediately fires off an NPS survey. Your agent handles the timing based on user interactions. OpenAI guardrails block the system from spamming the same customer twice. You define the safety constraints before execution. The SDK catches bad parameters before they hit the AskNicely API. This keeps your production environment stable.
Read sentiment data with this MCP Server
Your agent pulls raw feedback using `list_responses` and aggregates the scores with `get_statistics`. It drops that data straight into your tracing dashboard for review. Specialized agents read these scores and hand off unhappy customers to a retention workflow. You see every step in the OpenAI logs.
Audit your contact lists automatically
Validating your connection happens instantly with `get_account_check`. Once authenticated, the agent runs `list_contacts` to map out your audience. Managing customer experience requires knowing exactly who is in the system. The SDK pulls the exact roster and verifies it against your internal databases.
Set up AskNicely 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 AskNicely tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives AskNicely tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate AskNicely 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="AskNicely Agent",
instructions="You have access to AskNicely 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 AskNicely. 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 AskNicely MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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