How to Use the Katalon TestOps (AI Test Management) MCP in LlamaIndex

Index your Katalon TestOps execution history into LlamaIndex to query test results and build health using semantic search.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Katalon TestOps (AI Test Management) MCP to LlamaIndex

Create your Vinkius account to connect Katalon TestOps (AI 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.

GDPR Free for Subscribers

Setup Katalon TestOps (AI Test Management) with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Turn TestOps data into a LlamaIndex knowledge base

This MCP Server lets your LlamaIndex agent pull raw execution history using `list_test_runs` to index those outputs directly into a vector store. You can query past test failures using natural language to find recurring patterns across different environments. By grounding your queries in real API data, you eliminate hallucinations. The agent searches actual test run statistics rather than guessing, giving you accurate summaries of your QA history.

Build RAG pipelines for release audits

Your RAG pipeline can retrieve active build details via `list_project_builds` to match them against your deployment criteria. The agent combines live test execution data with your internal documentation. This lets your agent make informed decisions based on both your written policies and real-time testing metrics. It parses actual test outcomes to verify if a build is ready for production.

Query execution environments with semantic search

Your agent calls `list_execution_environments` to gather active runner data and store it alongside historical test results. This allows you to track down flaky environments by indexing environment configurations. When a pipeline fails, you ask the agent why. It searches the indexed environment data to pinpoint if a specific runner configuration is causing the breakdown.

Setup guide

Set up Katalon TestOps (AI Test Management) MCP in LlamaIndex

Prerequisites

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

1

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

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Katalon TestOps (AI Test Management) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
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 Katalon TestOps (AI Test Management) tools.",
)
response = await agent.run("List recent Katalon TestOps (AI Test Management) data")

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 Katalon TestOps. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Katalon TestOps (AI Test Management) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Katalon TestOps (AI Test Management) MCP in LlamaIndex

Use the llama-index-tools-mcp package to load the tools from the MCP Server endpoint. You can run test run or results tools to fetch the data, then index the resulting text directly into your vector store.

Yes. By indexing the outputs of the test result and test run tools, your RAG pipeline can answer complex natural language questions about past test behavior and failures.

Yes, you can configure the client to include resources, enabling direct access to execution data like project details and release stats.

Yes. You can use the allowed tools filter during setup to restrict the agent's access, ensuring it only invokes specific read-only tools like listing projects if needed.

Your API tokens and test result details — including execution durations and error messages — are handled through a zero-trust, isolated connection. No test execution data is cached or stored permanently on the Vinkius platform.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript