PractiTest 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 PractiTest through 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: {
"practitest": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "PractiTest Agent",
instructions:
"You help users interact with PractiTest " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with PractiTest?"
);
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 PractiTest MCP Server
Connect your PractiTest workspaces to any AI agent and empower it to orchestrate the entire QA lifecycle from physical requirements tracing to defect mapping natively via chat conversations.
Mastra's agent abstraction provides a clean separation between LLM logic and PractiTest tool infrastructure. Connect 10 tools through 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
- Test Cases & Sets — Tell the AI to investigate any Test Case or Test Set, discovering exact preconditions and expected results (
list_tests,get_test,list_sets) - Test Instances & Runs — Retrieve deep execution histories pinpointing exactly which step caused a regression bounding PASSED/FAILED statuses (
list_runs) - Requirements Tracking — Audit physical system compliance extracting arrays dictating QA delivery thresholds (
list_requirements) - Issue Mapping — Find exact Software Defects bound natively to QA traces verifying complex failure logic (
list_issues)
The PractiTest 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 PractiTest to Mastra AI via MCP
Follow these steps to integrate the PractiTest 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 PractiTest via MCP
Why Use Mastra AI with the PractiTest MCP Server
Mastra AI provides unique advantages when paired with PractiTest through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add PractiTest 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 PractiTest 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
PractiTest + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the PractiTest MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query PractiTest, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed PractiTest as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query PractiTest on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using PractiTest tools alongside other MCP servers
PractiTest MCP Tools for Mastra AI (10)
These 10 tools become available when you connect PractiTest to Mastra AI via MCP:
get_set
Get full details of a PractiTest test set including name, status, instances count, and execution summary
get_test
Get full details of a PractiTest test case including name, description, preconditions, steps, expected results, custom fields, and requirement links
list_custom_fields
List all custom fields in a PractiTest project. Returns field names, types, applicable entities, and possible values
list_instances
List all test instances in a PractiTest test set. Instances are test-set-specific copies of test cases. Returns instance IDs, test references, and last run statuses
list_issues
List all issues (defects) in a PractiTest project. Returns issue names, statuses, severities, and linked test references
list_requirements
List all requirements in a PractiTest project. Requirements provide traceability to test cases and defects. Returns names, statuses, and linked test counts
list_runs
List all runs for a PractiTest test instance. Runs record actual test execution results. Returns run IDs, statuses (PASSED/FAILED/BLOCKED/NOT_RUN/N_A), durations, and timestamps
list_sets
List all test sets in a PractiTest project. Test sets group test instances for execution. Returns set names, statuses, planned/actual dates, and assigned testers
list_tests
List all test cases in a PractiTest project. PractiTest is an end-to-end test management platform with traceability from requirements to defects. Returns test names, IDs, statuses, custom fields, and traceability links. Uses JSON:API format
list_users
List all users in the PractiTest account. Returns user names, emails, roles, and statuses
Example Prompts for PractiTest in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with PractiTest immediately.
"List all tests inside our active QA regression instance and find the ones mapped as failed."
"Do we have any new custom fields we should be aware of inside the requirements area?"
"Are there any open defects (issues) linked directly to testing scenarios surrounding multi-currency operations?"
Troubleshooting PractiTest MCP Server with Mastra AI
Common issues when connecting PractiTest to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPractiTest + Mastra AI FAQ
Common questions about integrating PractiTest 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 PractiTest 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 PractiTest to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.