How to Use the MaestroQA MCP in AutoGen

Q: How do I connect AutoGen to the MaestroQA MCP Server?

Install autogen-extmcp. Use mcpservertools with StreamableHttpServerParams pointing to your Vinkius endpoint, then pass the resulting list to your AssistantAgent.

Q: How do AutoGen agents handle the async MaestroQA exports?

One agent triggers requestqadataexport. You can prompt a secondary agent to wait and periodically call getexportdownloadlinks until the raw data export completes.

Q: Will AutoGen agents automatically push CSAT scores to MaestroQA?

Only if you provide them the pushcsatscores tool and instruct them to do so. You control the exact permissions each agent has within the conversation.

Deploy debating AI agents to audit support workflows with AutoGen and the MaestroQA MCP Server.

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Connect MaestroQA MCP to AutoGen

Create your Vinkius account to connect MaestroQA to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup MaestroQA with AutoGen

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Multi-Agent QA Auditing with AutoGen

You can build a system where agents debate agent performance. One AutoGen agent pulls raw customer interactions using `list_qa_tickets`, while a secondary compliance agent reviews the exact grading criteria via `list_qa_rubrics`. They don't just execute commands. They negotiate the outcome based on the data retrieved from `get_ticket_qa_details`, ensuring your final QA assessments are rigorously challenged before being accepted.

Consensus-Driven CSAT Syncing

Pushing external metrics into your QA platform requires precision. You can configure an AutoGen setup where a data-gathering agent proposes a batch of scores, and a validation agent verifies them before calling `push_csat_scores`. This prevents malformed data from polluting your MaestroQA dashboard. The agents discuss any discrepancies in the external feedback and only execute the MCP tool when they reach a strict consensus.

Coordinated Data Export Pipelines

Exporting massive performance datasets is a multi-step process. A planning agent initiates the process by calling `request_qa_data_export` with a specific date range. An execution agent takes over, polling `get_export_download_links` until the files are ready. This division of labor keeps your AutoGen workspace highly efficient, separating the async request from the actual download logic.

Setup guide

Set up MaestroQA MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes MaestroQA tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="MaestroQA_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent MaestroQA data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="MaestroQA_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent MaestroQA data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MaestroQA. 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.

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Common questions about MaestroQA MCP in AutoGen

Install autogen-ext[mcp]. Use mcp_server_tools with StreamableHttpServerParams pointing to your Vinkius endpoint, then pass the resulting list to your AssistantAgent.

Yes. The McpToolAdapter handles schema conversion automatically. You can give list_qa_agents to a routing agent and get_ticket_qa_details to a specific auditing agent.

One agent triggers request_qa_data_export. You can prompt a secondary agent to wait and periodically call get_export_download_links until the raw data export completes.

Only if you provide them the push_csat_scores tool and instruct them to do so. You control the exact permissions each agent has within the conversation.

Vinkius handles the authentication and tool execution in an isolated sandbox. Your support tickets and agent evaluation metrics stream directly to your local AutoGen environment without touching persistent storage on our end.

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