How to Use the Xray (Test Management) MCP in AutoGen

Q: How does AutoGen use Xray (Test Management) data to reach consensus?

Agents debate findings from tools like getindividualtestruns. The final decision isn't just the latest result; it's the convergence point after multiple agents challenge and confirm the necessary test state.

Q: Can I list all available test sets in Xray (Test Management) using AutoGen?

Yes. The listtestsets tool provides the initial data set, which multiple agents can then analyze and argue over—for example, deciding if certain groups of tests should be combined.

Run consensus-driven decisions with AutoGen using Xray (Test Management) data.

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Connect Xray (Test Management) MCP to AutoGen

Create your Vinkius account to connect Xray (Test Management) 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 Xray (Test Management) with AutoGen

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Debating Test Outcomes for AutoGen

A security agent can use `get_xray_settings` to check configuration risks, while a performance agent uses `list_test_executions` to determine the speed and volume of past runs. The agents then debate whether those settings are acceptable. This consensus model forces multiple perspectives on data retrieved from the MCP Server.

Multi-Agent Planning with AutoGen

One agent can call `list_test_plans` to identify all available plans. A second agent then takes that list and uses `get_test_plan_details` to compare the scope of two different cycles, forcing a decision on which plan is most appropriate. This negotiation structure is perfect for complex planning where consensus is required.

Validating Test Scope with MCP Server

The system can use `get_test_details` to get the full spec on a critical test. An agent then uses this data to validate against the overall list of available tests via `list_xray_tests`. The agents debate if the scope is too narrow or too wide. It's excellent for systems that require internal verification before moving forward.

Setup guide

Set up Xray (Test Management) 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 Xray (Test Management) 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="Xray (Test Management)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Xray (Test Management)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Xray (Test Management). 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 Xray (Test Management) MCP in AutoGen

Agents debate findings from tools like `get_individual_test_runs`. The final decision isn't just the latest result; it's the convergence point after multiple agents challenge and confirm the necessary test state.

The MCP Server provides structured records covering execution outcomes, plan definitions, and project configurations. These facts form the basis of the agents' debate.

Yes. The `list_test_sets` tool provides the initial data set, which multiple agents can then analyze and argue over—for example, deciding if certain groups of tests should be combined.

Absolutely. The framework is built specifically for deliberation; it ensures that the final output isn't just a single tool call, but a conclusion reached through multiple interactions.

This server touches test execution records, including granular results, individual run instances, and project configuration settings.

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