MaestroQA MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect MaestroQA 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="MaestroQA Assistant",
instructions=(
"You help users interact with MaestroQA. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from MaestroQA"
)
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 MaestroQA MCP Server
Connect your MaestroQA account to any AI agent to automate your customer service quality assurance and performance reporting. This MCP server enables your agent to list tickets, monitor QA scores, request detailed data exports, and sync external CSAT scores directly from natural language interfaces.
The OpenAI Agents SDK auto-discovers all 7 tools from MaestroQA through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MaestroQA, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Score Monitoring — List support tickets and retrieve real-time Internal Quality Scores (IQS) and grading statuses
- Automated Exporting — Initialize asynchronous raw data exports for deep analysis of rubric answers and performance
- Agent Oversight — List all support agents and available evaluation rubrics to organize your QA process
- CSAT Synchronization — Push external customer satisfaction scores into MaestroQA to correlate them with internal QA grades
- Detailed Auditing — Retrieve complete metadata and scoring breakdowns for any individual ticket
The MaestroQA MCP Server exposes 7 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 MaestroQA to OpenAI Agents SDK via MCP
Follow these steps to integrate the MaestroQA 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 7 tools from MaestroQA
Why Use OpenAI Agents SDK with the MaestroQA MCP Server
OpenAI Agents SDK provides unique advantages when paired with MaestroQA 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
MaestroQA + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the MaestroQA MCP Server delivers measurable value.
Automated workflows: build agents that query MaestroQA, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries MaestroQA, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through MaestroQA tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query MaestroQA to resolve tickets, look up records, and update statuses without human intervention
MaestroQA MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect MaestroQA to OpenAI Agents SDK via MCP:
get_export_download_links
Retrieve links for a requested export
get_ticket_qa_details
Get QA details for a specific ticket
list_qa_agents
List all agents tracked in MaestroQA
list_qa_rubrics
List all available evaluation rubrics
list_qa_tickets
Use optional params for filtering. List tickets and their QA statuses
push_csat_scores
Sync external CSAT scores into MaestroQA
request_qa_data_export
Requires start_date and end_date. Initialize a raw QA data export (Async)
Example Prompts for MaestroQA in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with MaestroQA immediately.
"List all support tickets awaiting QA review in MaestroQA."
"Request a raw data export for the month of July in MaestroQA."
"Show the QA score for ticket ID 'ticket-54321'."
Troubleshooting MaestroQA MCP Server with OpenAI Agents SDK
Common issues when connecting MaestroQA to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
MaestroQA + OpenAI Agents SDK FAQ
Common questions about integrating MaestroQA 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 MaestroQA 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 MaestroQA to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.