Xray (Test Management) MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Xray (Test Management) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Xray (Test Management). "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Xray (Test Management)?"
)
print(response)
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 Xray (Test Management) MCP Server
Connect your Xray Test Management account to any AI agent and manage your quality assurance workflows through natural conversation.
LlamaIndex agents combine Xray (Test Management) tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Test Case Discovery — List and browse all test cases within your project and retrieve unique test keys (e.g., TST-1) for deep inspection
- Execution Monitoring — List and track test execution records to monitor real-time QA results and overall release readiness
- Granular Results — Retrieve detailed results for specific executions to see which steps passed, failed, or encountered errors
- Test Planning — Browse high-level test plans and retrieve scope details to understand your testing strategy and progress
- Logical Grouping — List test sets to see how individual test cases are organized into functional or regression groups
- Historical Auditing — Retrieve the complete run history for a single test across multiple execution cycles to identify flaky tests
- Project Config — Verify environment settings and status mappings to ensure your agent is aligned with your project's workflow
The Xray (Test Management) MCP Server exposes 9 tools through the Vinkius. Connect it to LlamaIndex 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 Xray (Test Management) to LlamaIndex via MCP
Follow these steps to integrate the Xray (Test Management) MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 9 tools from Xray (Test Management)
Why Use LlamaIndex with the Xray (Test Management) MCP Server
LlamaIndex provides unique advantages when paired with Xray (Test Management) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Xray (Test Management) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Xray (Test Management) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Xray (Test Management), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Xray (Test Management) tools were called, what data was returned, and how it influenced the final answer
Xray (Test Management) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Xray (Test Management) MCP Server delivers measurable value.
Hybrid search: combine Xray (Test Management) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Xray (Test Management) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Xray (Test Management) for fresh data
Analytical workflows: chain Xray (Test Management) queries with LlamaIndex's data connectors to build multi-source analytical reports
Xray (Test Management) MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Xray (Test Management) to LlamaIndex via MCP:
get_execution_details
Retrieves granular results for a specific test execution
get_individual_test_runs
Retrieves individual test run instances for a specific test
get_test_details
Retrieves comprehensive details for a specific Xray test case
get_test_plan_details
Retrieves details for a specific test plan
get_xray_settings
Retrieves Xray project configuration and field mappings
list_test_executions
Lists all test execution records
list_test_plans
Lists all test plans configured in Xray
list_test_sets
Lists all test sets (groups of tests)
list_xray_tests
g. TST-1). Lists all test cases in the Xray project
Example Prompts for Xray (Test Management) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Xray (Test Management) immediately.
"List all test cases in the 'Mobile-App' project."
"What were the results for execution 'EXEC-555'?"
"Show me the test plan progress for 'v2.4 Release'."
Troubleshooting Xray (Test Management) MCP Server with LlamaIndex
Common issues when connecting Xray (Test Management) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpXray (Test Management) + LlamaIndex FAQ
Common questions about integrating Xray (Test Management) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Xray (Test Management) 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 Xray (Test Management) to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.