How to Use the Mabl (AI-Powered Test Automation) MCP in AutoGen

Debate your release readiness by letting AutoGen agents analyze Mabl (AI-Powered Test Automation) results.

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Connect Mabl (AI-Powered Test Automation) MCP to AutoGen

Create your Vinkius account to connect Mabl (AI-Powered Test Automation) 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 Mabl (AI-Powered Test Automation) with AutoGen

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Perplexity

Agents negotiate release approval

Deploy a quality agent to run `mb.trigger_plan` while a security agent reviews the `mb.get_execution` details. They debate whether the failures found are critical or acceptable. This prevents biased decision-making. By requiring consensus, your system ensures that only stable builds move forward in your deployment flow.

Automated failure triage through debate

When a test fails, your agents parse the `mb.get_execution` failure analysis together. One agent proposes a fix while the other challenges the assumption based on previous test runs. This process cuts down on manual triage time. Your team only gets involved when the agents cannot reach a consensus on the root cause.

Workspace monitoring across agents

Use `mb.workspace_info` to provide agents with context about the current organization and workspace limits. They maintain awareness of your resource constraints during testing. This keeps your automation within budget. Agents coordinate to prioritize critical plans when execution credits are running low.

Setup guide

Set up Mabl (AI-Powered Test Automation) 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 Mabl (AI-Powered Test Automation) 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="Mabl (AI-Powered Test Automation)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Mabl (AI-Powered Test Automation) 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="Mabl (AI-Powered Test Automation)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Mabl (AI-Powered Test Automation) data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about Mabl (AI-Powered Test Automation) MCP in AutoGen

You register the server tools with your AssistantAgent. The agents then call these tools as part of their conversation to gather data and trigger tests.

They can analyze logs and suggest fixes. By debating the failure reports, they determine if the issue requires a code change or a test update.

Absolutely. You can have a QA agent trigger plans and a DevOps agent monitor the results to ensure your pipeline remains stable.

Provide a single workspace token to the server. The agents inherit this access, ensuring all actions are logged against your organization account.

Execution logs are stored securely in your Mabl account. The agents only read the metadata required to make decisions during their debate.

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