Xray (Test Management) MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Xray (Test Management) through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Xray (Test Management), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Xray (Test Management) MCP Server
Connect your Xray Test Management account to any AI agent and manage your quality assurance workflows through natural conversation.
The Vercel AI SDK gives every Xray (Test Management) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Test Case Discovery — List and browse all test cases within your project and retrieve unique test keys (e.g., TST-1) for deep inspection
- Execution Monitoring — List and track test execution records to monitor real-time QA results and overall release readiness
- Granular Results — Retrieve detailed results for specific executions to see which steps passed, failed, or encountered errors
- Test Planning — Browse high-level test plans and retrieve scope details to understand your testing strategy and progress
- Logical Grouping — List test sets to see how individual test cases are organized into functional or regression groups
- Historical Auditing — Retrieve the complete run history for a single test across multiple execution cycles to identify flaky tests
- Project Config — Verify environment settings and status mappings to ensure your agent is aligned with your project's workflow
The Xray (Test Management) MCP Server exposes 9 tools through the Vinkius. Connect it to Vercel AI 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 Xray (Test Management) to Vercel AI SDK via MCP
Follow these steps to integrate the Xray (Test Management) MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 9 tools from Xray (Test Management) and passes them to the LLM
Why Use Vercel AI SDK with the Xray (Test Management) MCP Server
Vercel AI SDK provides unique advantages when paired with Xray (Test Management) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Xray (Test Management) integration everywhere
Built-in streaming UI primitives let you display Xray (Test Management) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Xray (Test Management) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Xray (Test Management) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Xray (Test Management) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Xray (Test Management) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Xray (Test Management) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Xray (Test Management) through natural language queries
Xray (Test Management) MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Xray (Test Management) to Vercel AI SDK via MCP:
get_execution_details
Retrieves granular results for a specific test execution
get_individual_test_runs
Retrieves individual test run instances for a specific test
get_test_details
Retrieves comprehensive details for a specific Xray test case
get_test_plan_details
Retrieves details for a specific test plan
get_xray_settings
Retrieves Xray project configuration and field mappings
list_test_executions
Lists all test execution records
list_test_plans
Lists all test plans configured in Xray
list_test_sets
Lists all test sets (groups of tests)
list_xray_tests
g. TST-1). Lists all test cases in the Xray project
Example Prompts for Xray (Test Management) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Xray (Test Management) immediately.
"List all test cases in the 'Mobile-App' project."
"What were the results for execution 'EXEC-555'?"
"Show me the test plan progress for 'v2.4 Release'."
Troubleshooting Xray (Test Management) MCP Server with Vercel AI SDK
Common issues when connecting Xray (Test Management) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpXray (Test Management) + Vercel AI SDK FAQ
Common questions about integrating Xray (Test Management) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Xray (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 Xray (Test Management) to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.