Mabl (AI-Powered Test Automation) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mabl (AI-Powered Test Automation) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Mabl (AI-Powered Test Automation) Assistant",
instructions=(
"You help users interact with Mabl (AI-Powered Test Automation). "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Mabl (AI-Powered Test Automation)"
)
print(result.final_output)
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 Mabl (AI-Powered Test Automation) MCP Server
Connect your Mabl account to any AI agent and take full control of your AI-powered E2E testing and quality orchestration through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Mabl (AI-Powered Test Automation) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Mabl (AI-Powered Test Automation), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Plan Orchestration — List all test plans and trigger immediate executions across specific environments (staging, production) directly from your agent
- Execution Monitoring — Track the real-time status of ongoing test runs and retrieve detailed outcome summaries including pass/fail rates and durations
- AI Failure Analysis — Deep-dive into execution results to extract precise failure reasons, diagnostic insights, and visual screenshots for rapid debugging
- Environment Audit — List configured testing environments and retrieve associated variables to ensure accurate test execution context
- App & API Discovery — Enumerate all monitored applications and their target URLs (web + API) to manage your testing grid securely
- Label & Tag Management — Discover and list plan labels used to group and trigger specific testing suites across your organization
The Mabl (AI-Powered Test Automation) MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Mabl (AI-Powered Test Automation) to OpenAI Agents SDK via MCP
Follow these steps to integrate the Mabl (AI-Powered Test Automation) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Mabl (AI-Powered Test Automation)
Why Use OpenAI Agents SDK with the Mabl (AI-Powered Test Automation) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Mabl (AI-Powered Test Automation) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Mabl (AI-Powered Test Automation) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Mabl (AI-Powered Test Automation) MCP Server delivers measurable value.
Automated workflows: build agents that query Mabl (AI-Powered Test Automation), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Mabl (AI-Powered Test Automation), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Mabl (AI-Powered Test Automation) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Mabl (AI-Powered Test Automation) to resolve tickets, look up records, and update statuses without human intervention
Mabl (AI-Powered Test Automation) MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Mabl (AI-Powered Test Automation) to OpenAI Agents SDK via MCP:
mb.get_app
Get full details of a Mabl application including name, description, targets (web URLs + API base URLs), and labels
mb.get_execution
Get full details of a Mabl execution result including status, duration, test outcomes, failure analysis, and screenshots
mb.list_apps
Use this to lookup application details. List all applications on Mabl. Mabl is an AI-powered E2E testing platform for web, mobile, and API testing with self-healing tests
mb.list_envs
). Returns env names, IDs, and environment variables. List all environments on Mabl
mb.list_executions
List latest execution results on Mabl
mb.list_labels
Returns label names and associated plan counts. List all labels (tags) used in Mabl plans
mb.list_plans
Returns plan names, statuses, triggers, and linked apps/envs. List all test plans (run policies) on Mabl
mb.list_tests
List all API tests on Mabl
mb.trigger_plan
Trigger a Mabl plan run via deployment event
mb.workspace_info
Does not require args. Get workspace info for the authenticated Mabl API key including workspace name, org, and key metadata
Example Prompts for Mabl (AI-Powered Test Automation) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Mabl (AI-Powered Test Automation) immediately.
"List all my Mabl test plans"
"Trigger the 'Checkout-Regression' plan in the Staging environment"
"Show me the details for the last failed execution"
Troubleshooting Mabl (AI-Powered Test Automation) MCP Server with OpenAI Agents SDK
Common issues when connecting Mabl (AI-Powered Test Automation) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Mabl (AI-Powered Test Automation) + OpenAI Agents SDK FAQ
Common questions about integrating Mabl (AI-Powered Test Automation) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Mabl (AI-Powered Test Automation) 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 Mabl (AI-Powered Test Automation) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.