AskNicely MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect AskNicely 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="AskNicely Assistant",
instructions=(
"You help users interact with AskNicely. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from AskNicely"
)
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 AskNicely MCP Server
The AskNicely MCP Server provides a powerful natural language interface to your customer experience platform. Empower your AI agent to monitor your Net Promoter Score (NPS), retrieve real-time user feedback, and manage your contact survey workflows seamlessly.
The OpenAI Agents SDK auto-discovers all 5 tools from AskNicely through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AskNicely, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Capabilities
- NPS Monitoring — Retrieve your aggregate NPS statistics and track changes in customer sentiment over time.
- Response Analysis — Access detailed survey responses, including scores and customer comments, to identify pain points and success stories.
- Contact Management — List and audit your contact database, including when users were last surveyed.
- Survey Automation — Trigger new surveys for specific customers directly from your chat interface to capture immediate feedback.
- Real-time Statistics — Get instant summaries of your customer experience metrics without manual dashboard exports.
- Secure API Access — Uses your AskNicely API Key for safe and authenticated communication.
The AskNicely MCP Server exposes 5 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 AskNicely to OpenAI Agents SDK via MCP
Follow these steps to integrate the AskNicely 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 5 tools from AskNicely
Why Use OpenAI Agents SDK with the AskNicely MCP Server
OpenAI Agents SDK provides unique advantages when paired with AskNicely 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
AskNicely + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the AskNicely MCP Server delivers measurable value.
Automated workflows: build agents that query AskNicely, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries AskNicely, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through AskNicely tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query AskNicely to resolve tickets, look up records, and update statuses without human intervention
AskNicely MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect AskNicely to OpenAI Agents SDK via MCP:
get_account_check
Verify AskNicely account connection
get_statistics
Get aggregate NPS statistics and summary
list_contacts
List contacts in your AskNicely account
list_responses
List NPS survey responses from AskNicely
trigger_survey
Add a contact and trigger a survey immediately
Example Prompts for AskNicely in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with AskNicely immediately.
"Show me our current NPS statistics."
"List the last 5 survey responses with comments."
"Trigger an NPS survey for 'Jane Smith' at 'jane@example.com'."
Troubleshooting AskNicely MCP Server with OpenAI Agents SDK
Common issues when connecting AskNicely to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
AskNicely + OpenAI Agents SDK FAQ
Common questions about integrating AskNicely 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?
Connect AskNicely with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AskNicely to OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.