Guestmeter MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Guestmeter 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="Guestmeter Assistant",
instructions=(
"You help users interact with Guestmeter. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Guestmeter"
)
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 Guestmeter MCP Server
Connect your Guestmeter hospitality feedback platform to any AI agent and take full control of your reputation management workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 6 tools from Guestmeter through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Guestmeter, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Automated Surveys — Trigger satisfaction surveys via Email or SMS for guests immediately after checkout.
- Feedback Monitoring — List and inspect all guest ratings, comments, and NPS types (Promoters, Passives, Detractors).
- Reputation Insights — Retrieve detailed reports on specific guest experiences to identify areas for improvement.
- Real-time Alerts — Stay updated on the most recent feedback entries to respond quickly to guest concerns.
- Segmented Analysis — Filter feedback to focus on your happiest guests (Promoters) or those needing attention (Detractors).
The Guestmeter MCP Server exposes 6 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 Guestmeter to OpenAI Agents SDK via MCP
Follow these steps to integrate the Guestmeter 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 6 tools from Guestmeter
Why Use OpenAI Agents SDK with the Guestmeter MCP Server
OpenAI Agents SDK provides unique advantages when paired with Guestmeter 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
Guestmeter + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Guestmeter MCP Server delivers measurable value.
Automated workflows: build agents that query Guestmeter, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Guestmeter, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Guestmeter tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Guestmeter to resolve tickets, look up records, and update statuses without human intervention
Guestmeter MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Guestmeter to OpenAI Agents SDK via MCP:
get_guest_details
Retrieve detailed information for a specific guest ID
list_detractors
List all guests who are detractors (ratings 1-6)
list_guest_feedback
List all guests and their feedback status/results
list_promoters
List all guests who are promoters (ratings 9-10)
list_recent_feedback
List the 50 most recent feedback entries
send_survey
Requires either an email or phone number. Trigger a new guest satisfaction survey via Email or SMS
Example Prompts for Guestmeter in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Guestmeter immediately.
"List the most recent guest feedback entries."
"Send a survey to John Doe at john.doe@example.com for room 302."
"Show me all our detractors from the last batch."
Troubleshooting Guestmeter MCP Server with OpenAI Agents SDK
Common issues when connecting Guestmeter to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Guestmeter + OpenAI Agents SDK FAQ
Common questions about integrating Guestmeter 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 Guestmeter 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 Guestmeter to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.