Zephyr Scale (SmartBear) MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Zephyr Scale (SmartBear) through 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 Zephyr Scale (SmartBear), 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 Zephyr Scale (SmartBear) MCP Server
Connect your Zephyr Scale (SmartBear) account to any AI agent and manage your enterprise quality assurance infrastructure through natural conversation.
The Vercel AI SDK gives every Zephyr Scale (SmartBear) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through 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 a Jira project and retrieve specific keys (e.g., PROJ-T1) for deep inspection
- Cycle Monitoring — Browse test cycles to see how test runs are grouped for specific releases, sprints, or regression cycles
- Execution Tracking — Monitor real-time test execution results (Pass, Fail, Blocked) and retrieve step-by-step progress details
- Test Planning — List high-level test plans to understand your overall testing strategy and project scope
- Folder Navigation — Explore the organizational hierarchy of your test cases, cycles, and plans to find specific work items
- Environment Audit — List configured test environments (Staging, Production) and custom statuses available for your project
- Step-by-Step Insights — Retrieve full objective, preconditions, and detailed test scripts for any individual test case
The Zephyr Scale (SmartBear) MCP Server exposes 10 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 Zephyr Scale (SmartBear) to Vercel AI SDK via MCP
Follow these steps to integrate the Zephyr Scale (SmartBear) 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 10 tools from Zephyr Scale (SmartBear) and passes them to the LLM
Why Use Vercel AI SDK with the Zephyr Scale (SmartBear) MCP Server
Vercel AI SDK provides unique advantages when paired with Zephyr Scale (SmartBear) 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 Zephyr Scale (SmartBear) integration everywhere
Built-in streaming UI primitives let you display Zephyr Scale (SmartBear) 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
Zephyr Scale (SmartBear) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Zephyr Scale (SmartBear) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Zephyr Scale (SmartBear) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Zephyr Scale (SmartBear) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Zephyr Scale (SmartBear) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Zephyr Scale (SmartBear) through natural language queries
Zephyr Scale (SmartBear) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Zephyr Scale (SmartBear) to Vercel AI SDK via MCP:
get_execution
Retrieves full details of a Zephyr Scale test execution
get_test_case
Retrieves full details of a Zephyr Scale test case
get_test_cycle
Retrieves full details of a Zephyr Scale test cycle
list_environments
g. Staging, Production). Lists all test environments in a Zephyr Scale project
list_executions
Lists all test executions in a Zephyr Scale project
list_folders
Folder type must be TEST_CASE, TEST_CYCLE, or TEST_PLAN. Lists all folders for a specific type within a project
list_statuses
Lists all custom test execution statuses in a project
list_test_cases
Provide a Jira project key (e.g. "PROJ"). Returns test case keys, names, and statuses. Paginated. Lists all test cases in a Zephyr Scale project
list_test_cycles
Test cycles group test runs for a release or sprint. Lists all test cycles in a Zephyr Scale project
list_test_plans
Lists all test plans in a Zephyr Scale project
Example Prompts for Zephyr Scale (SmartBear) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Zephyr Scale (SmartBear) immediately.
"List all test cases in project 'PROJ'."
"What are the details for test cycle 'PROJ-R42'?"
"Show me the results for execution ID '12345678'."
Troubleshooting Zephyr Scale (SmartBear) MCP Server with Vercel AI SDK
Common issues when connecting Zephyr Scale (SmartBear) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpZephyr Scale (SmartBear) + Vercel AI SDK FAQ
Common questions about integrating Zephyr Scale (SmartBear) 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 Zephyr Scale (SmartBear) 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 Zephyr Scale (SmartBear) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.