Testim 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 Testim 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 Testim, 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 Testim MCP Server
Connect your Testim project to any AI agent and bring your automated end-to-end testing orchestration directly into your workflow via natural conversation.
The Vercel AI SDK gives every Testim tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Automated AI Tests — Browse your entire test suite, retrieve detailed test steps, and manually trigger specific tests or entire scheduled plans
- Suite & Label Runs — Execute dynamic batches by triggering runs associated with specific labels or grouped within precise test suites
- Execution Diagnostics — Pull pass/fail statuses, trace errors, and review specific execution logs immediately after a deployment
- Branch Management — Check parallel development efforts by listing, creating, and even merging automated test branches without opening the Testim GUI
The Testim 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 Testim to Vercel AI SDK via MCP
Follow these steps to integrate the Testim 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 Testim and passes them to the LLM
Why Use Vercel AI SDK with the Testim MCP Server
Vercel AI SDK provides unique advantages when paired with Testim 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 Testim integration everywhere
Built-in streaming UI primitives let you display Testim 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
Testim + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Testim MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Testim in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Testim tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Testim capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Testim through natural language queries
Testim MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Testim to Vercel AI SDK via MCP:
create_project_branch
Creates a new test development branch
get_execution_results
Retrieves the status and results of a specific test execution
get_test_details
Retrieves full details for a specific Testim test
list_project_branches
Lists all parallel development branches in the project
list_tests
Lists all automated tests in the Testim project
merge_project_branch
Typically merges a feature branch into master. Merges test changes from one branch into another
run_specific_test
Optionally provide a branch name. Returns an execution ID. Triggers an immediate run for a specific test
run_test_plan
Triggers a run for a defined test plan
run_test_suite
Triggers a run for all tests in a specific suite
run_tests_by_label
Triggers a run for all tests matching a specific label
Example Prompts for Testim in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Testim immediately.
"List all branches available in my Testim project."
"Trigger a plan run for "Nightly-Regression"."
"Retrieve the execution diagnostic summary for ID EXC-999333."
Troubleshooting Testim MCP Server with Vercel AI SDK
Common issues when connecting Testim to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTestim + Vercel AI SDK FAQ
Common questions about integrating Testim 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 Testim 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 Testim to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.