Katalon TestOps (AI Test Management) MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Katalon TestOps (AI Test Management) through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"katalon-testops-ai-test-management": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Katalon TestOps (AI Test Management), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Katalon TestOps (AI Test Management) MCP Server
Connect your Katalon TestOps account to any AI agent and take full control of your AI-powered test management and quality orchestration through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Katalon TestOps (AI Test Management) through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Execution Orchestration — List all test runs and trigger immediate re-executions of specific suites to verify bug fixes directly from your agent
- Quality Analytics — Retrieve detailed test outcome summaries, including pass/fail rates, execution durations, and error stack traces
- Diagnostic Inspection — Deep-dive into individual test results to extract application logs, error messages, and visual screenshots for rapid debugging
- Environment Audit — List configured execution environments to understand target OS, browser, and device distributions across your projects
- Release Management — Monitor defined software releases and track aggregated test run statistics to ensure build quality before deployment
- Project CRM — Navigate across multiple Katalon projects and retrieve detailed metadata including team assignments and suite counts securely
The Katalon TestOps (AI Test Management) MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Katalon TestOps (AI Test Management) to LangChain via MCP
Follow these steps to integrate the Katalon TestOps (AI Test Management) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Katalon TestOps (AI Test Management) via MCP
Why Use LangChain with the Katalon TestOps (AI Test Management) MCP Server
LangChain provides unique advantages when paired with Katalon TestOps (AI Test Management) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Katalon TestOps (AI Test Management) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Katalon TestOps (AI Test Management) queries for multi-turn workflows
Katalon TestOps (AI Test Management) + LangChain Use Cases
Practical scenarios where LangChain combined with the Katalon TestOps (AI Test Management) MCP Server delivers measurable value.
RAG with live data: combine Katalon TestOps (AI Test Management) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Katalon TestOps (AI Test Management), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Katalon TestOps (AI Test Management) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Katalon TestOps (AI Test Management) tool call, measure latency, and optimize your agent's performance
Katalon TestOps (AI Test Management) MCP Tools for LangChain (10)
These 10 tools become available when you connect Katalon TestOps (AI Test Management) to LangChain via MCP:
get_project
Get full details of a Katalon project
get_test_result
Get full details of a single Katalon test result
get_test_run
Get full details of a Katalon test run
list_execution_environments
List execution environments in a Katalon project
list_project_builds
Returns build identifier names, IDs, and the count of associated test runs. List software builds in a Katalon project
list_project_releases
Returns release names, scheduled dates, and aggregated test run statistics. List defined releases in a Katalon project
list_projects
Returns project names, IDs, and descriptions. List all projects on Katalon TestOps
list_test_results
Returns durations, statuses, and error messages. List detailed test results within a test run
list_test_runs
Returns run IDs, pass/fail status, total counts, and execution durations. List test runs within a Katalon project
rerun_test_run
Returns the newly created test run ID. Re-run an existing Katalon test run
Example Prompts for Katalon TestOps (AI Test Management) in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Katalon TestOps (AI Test Management) immediately.
"List the last 5 test runs in project 'E-commerce API' (ID: 123)"
"Rerun test run ID 986"
"What are the active releases defined in project 123?"
Troubleshooting Katalon TestOps (AI Test Management) MCP Server with LangChain
Common issues when connecting Katalon TestOps (AI Test Management) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersKatalon TestOps (AI Test Management) + LangChain FAQ
Common questions about integrating Katalon TestOps (AI Test Management) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Katalon TestOps (AI 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 Katalon TestOps (AI Test Management) to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.