Can my agent help me identify the root cause of a failed test case?

Yes. Use the 'get_case' tool to resolve the AI root-cause model for a specific test. The agent retrieves the definitions and AI insights to confirm exactly why a boundary was breached during execution.

How do I trigger a full test suite run via chat?

Provide the 'project_id' and 'suite_id' to your agent and use the 'trigger_run' mutation. The agent will command the backend to queue the tests against live ContextQA test clusters instantly.

Can I see screen captures of failed test steps through the agent?

The 'get_execution' tool retrieves detailed logs tracking failing step boundaries. Where supported by ContextQA, the agent can surface the associated physical screen capture limits to help you visualize the failure.

ContextQA MCP Server for AutoGen 10 tools — connect in under 2 minutes

Name: ContextQA
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add ContextQA as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="contextqa_agent",
            tools=tools,
            system_message=(
                "You help users with ContextQA. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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 ContextQA MCP Server

Connect your ContextQA account to any AI agent and take full control of your context-aware AI testing platform through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use ContextQA tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Project & Suite Management — List bounded test environments and perform structural extraction of GUI test suites across your projects
AI-Healing Executions — Monitor active test runs and inspect specific AI-healing states, including failing step boundaries and screen captures
Automated Triggers — Dispatch live testing commands to queue suites against ContextQA test clusters directly from your workspace
API & Swagger Testing — Enumerate automated HTTP assertions and explicitly verify structural payloads against OpenAPI configurations
Environment Auditing — List physical runtime URLs and group active contexts to verify testing boundaries across different layers
Test Case Inspection — Resolve AI root-cause models and validate specific case definitions to identify precise points of failure

The ContextQA MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen 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 ContextQA to AutoGen via MCP

Follow these steps to integrate the ContextQA MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from ContextQA automatically

Why Use AutoGen with the ContextQA MCP Server

AutoGen provides unique advantages when paired with ContextQA through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use ContextQA tools to solve complex tasks

Role-based architecture lets you assign ContextQA tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive ContextQA tool calls

Code execution sandbox: AutoGen agents can write and run code that processes ContextQA tool responses in an isolated environment

ContextQA + AutoGen Use Cases

Practical scenarios where AutoGen combined with the ContextQA MCP Server delivers measurable value.

Collaborative analysis: one agent queries ContextQA while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from ContextQA, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using ContextQA data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process ContextQA responses in a sandboxed execution environment

ContextQA MCP Tools for AutoGen (10)

These 10 tools become available when you connect ContextQA to AutoGen via MCP:

get_case

Validate Data Science object extraction tracking explicit steps boundaries

get_execution

Execute static queries targeting exactly specific AI-healing Run states

get_project

Retrieve explicit Project mapping UUIDs analyzing execution spaces limitlessly

list_api_tests

Extracts native REST & OpenAPI testing configurations natively

list_cases

Discover explicit routing limits structuring ContextQA cases trees

list_environments

List static configurations mapping Environment target layers mapping limits

list_executions

Inspect deep internal interaction tracking explicit global Run chunks

list_projects

Identify bounded ContextQA test environments grouping automated validations

list_suites

Perform structural extraction matching asynchronous GUI test Suites payloads

trigger_run

Dispatch a live testing command routing explicit Jobs against pipelines

Example Prompts for ContextQA in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with ContextQA immediately.

"List all test suites for project 'vinkius-app-prod'"

"Trigger a run for suite 'Checkout-Flow' in project 'vinkius-app-prod'"

"Show me why the last execution of project 'mobile-app' failed"

Troubleshooting ContextQA MCP Server with AutoGen

Common issues when connecting ContextQA to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

ContextQA + AutoGen FAQ

Common questions about integrating ContextQA MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call ContextQA tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.