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

Build knowledge-augmented systems with LlamaIndex using Xray (Test Management) data.

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LlamaIndex

Connect Xray (Test Management) MCP to LlamaIndex

Create your Vinkius account to connect Xray (Test Management) to LlamaIndex 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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Indexing Test Results for LlamaIndex

When you run a test, the `get_execution_details` tool grabs granular results. Passing these structured outputs to LlamaIndex means those specific failure patterns or passing details become searchable knowledge. This moves beyond simple API calls; it lets your RAG application query past sessions and pull answers grounded in actual Xray data.

Retrieving Test Case Specs with MCP Server

Need to understand a specific test? The `get_test_details` tool pulls all the necessary metadata for an Xray test case. Indexing these details lets your knowledge base answer questions like, 'What is the expected outcome for TST-1?' It's perfect for training agents on organizational testing standards.

Mapping Test Plans using LlamaIndex

Use `get_test_plan_details` to pull all details about a specific test plan. Indexing this data lets your application answer complex questions, such as 'What tests are included in the Q3 regression cycle?' This ability turns structured API calls into natural language knowledge retrieval.

Setup guide

Set up Xray (Test Management) MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Xray (Test Management) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Xray (Test Management) tools.",
)
response = await agent.run("List recent Xray (Test Management) data")

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 LlamaIndex

LlamaIndex takes the results from tools like `list_test_executions` and indexes them into a vector store. You can then ask natural language questions, and it finds the most relevant test records based on meaning.
The server provides comprehensive details about tests, plans, and executions. You can query past configurations or find out why a specific test failed by checking its associated data.
Yes. The `list_test_sets` tool provides the group structure, and indexing this allows your application to understand how tests are grouped for reporting.
Yes. The setup supports `allowed_tools` filters and `include_resources=True`, giving fine-grained control over what data gets indexed into the knowledge base.
This server touches test execution records, including granular results, individual run instances, and project configuration settings.

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