TestLink 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 TestLink 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 TestLink, 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 TestLink MCP Server
Connect your TestLink self-hosted environment to any AI agent and bring your classic test management structure seamlessly into your modern AI workflow via natural language.
The Vercel AI SDK gives every TestLink 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
- Project & Plan Scoping — Retrieve all test projects, query their active states, and list all comprehensive test plans linked to them
- Suite Navigation — Browse the hierarchical folder tree of Test Suites mapping your organizational test coverage
- Test Cases Verification — Dive deep into individual test cases to read manual steps, expected results, priorities, and preconditions without navigating the legacy UI
- Build Tracking — Inspect active software builds allocated within any specific test plan to confirm QA target versions
- Environment Sanity — Check the agent’s connection and user mapping via the native whoami interrogation
The TestLink 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 TestLink to Vercel AI SDK via MCP
Follow these steps to integrate the TestLink 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 TestLink and passes them to the LLM
Why Use Vercel AI SDK with the TestLink MCP Server
Vercel AI SDK provides unique advantages when paired with TestLink 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 TestLink integration everywhere
Built-in streaming UI primitives let you display TestLink 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
TestLink + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the TestLink MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query TestLink in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate TestLink tools and return structured JSON responses to any frontend
Chatbots with tool use: embed TestLink capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with TestLink through natural language queries
TestLink MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect TestLink to Vercel AI SDK via MCP:
get_test_case_details
Retrieves full details for a specific test case
get_test_plan_details
Retrieves details for a specific test plan
get_test_project_details
Retrieves details for a specific TestLink test project
get_test_suite_details
Retrieves details for a specific test suite
get_user_info
Retrieves information about the authenticated TestLink user
list_test_builds
Lists all builds available for a specific test plan
list_test_cases
Lists all test cases within a specific test suite
list_test_plans
Requires a project ID. Lists all test plans associated with a specific project
list_test_projects
Lists all test projects available on the TestLink server
list_test_suites
Lists all test suites within a specific test project
Example Prompts for TestLink in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with TestLink immediately.
"Find out if the server is working and tell me who I am authenticated as."
"Give me the step-by-step definition for Test Case ID 5440."
"List all active test plans for Project ID 2."
Troubleshooting TestLink MCP Server with Vercel AI SDK
Common issues when connecting TestLink to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTestLink + Vercel AI SDK FAQ
Common questions about integrating TestLink 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 TestLink 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 TestLink to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.