ContextQA MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ContextQA through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"contextqa": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ContextQA Agent",
instructions:
"You help users interact with ContextQA " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ContextQA?"
);
console.log(result.text);
}
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and ContextQA tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the ContextQA MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from ContextQA via MCP
Why Use Mastra AI with the ContextQA MCP Server
Mastra AI provides unique advantages when paired with ContextQA through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add ContextQA without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every ContextQA tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
ContextQA + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ContextQA MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ContextQA, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ContextQA as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ContextQA on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ContextQA tools alongside other MCP servers
ContextQA MCP Tools for Mastra AI (10)
These 10 tools become available when you connect ContextQA to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting ContextQA to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpContextQA + Mastra AI FAQ
Common questions about integrating ContextQA MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect ContextQA 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 ContextQA to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.