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

Feed Katalon TestOps execution data directly into your LangChain chains to auto-triage failures and trigger smart test reruns.

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Connect Katalon TestOps (AI Test Management) MCP to LangChain

Create your Vinkius account to connect Katalon TestOps (AI Test Management) to LangChain 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 Katalon TestOps (AI Test Management) with LangChain

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Build self-healing CI loops with LangChain

Your LangChain agent can use `list_test_runs` to instantly spot recent failures in your pipelines. Instead of waiting for a human to click around a UI, the chain decides if a transient issue occurred and triggers `rerun_test_run` on the spot. This isn't just basic automation — this is a closed-loop recovery system. By feeding the output of one tool call directly into the next, your agent handles flaky environments without wasting engineering hours.

Trace TestOps tool calls via LangSmith

Every time your LangChain agent calls `list_project_releases` to audit a build, LangSmith logs the exact payload, latency, and token cost. You see the raw reasoning path your agent took before deciding to block a release. Debugging agentic decisions gets simple when you have full visibility. When a chain decides to query `list_execution_environments` to find a clean runner, you can audit the exact inputs and outputs to ensure your logic is tight.

Analyze release readiness in multi-step chains

Your agent can run a multi-step evaluation by pulling build data from `list_project_builds` and comparing it against active releases. It compiles a real-time health report by examining the actual pass rates of your test suites. This MCP Server gives your LangChain agent direct access to raw QA metrics. The agent evaluates the actual test run statistics and determines whether the current build meets your deployment standards.

Setup guide

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

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Katalon TestOps (AI Test Management) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "katalon-testops-ai-test-management-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Katalon TestOps (AI Test Management) transactions"
    })
    print(result["messages"][-1].content)

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

Install the langchain-mcp-adapters package and use the MultiServerMCPClient to connect to the MCP Server endpoint. Pass the retrieved tools directly into your agent's tool list so it can start calling projects and test runs.

Yes, your agent can detect a failed run via the test run tools and immediately trigger a rerun using the failed run's ID within a single execution chain. This cuts down manual triage time for transient network or infrastructure issues.

LangSmith captures every single tool invocation, including arguments passed to retrieve test results or project builds. This lets you audit the exact steps your agent took during a release gate check.

Yes, you can easily chain this MCP Server with database or Slack tools, allowing your agent to pull test statuses and notify your team instantly.

The server only processes your Katalon metadata — like build IDs, execution environment names, and test run pass/fail statuses — within a secure, ephemeral V8 sandbox. Your raw source code is never accessed or stored, keeping your proprietary test logic safe.

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