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How to Use the Glob Pattern Tester MCP in Vercel AI SDK

Validate your file paths in real-time with the Glob Pattern Tester MCP Server, perfect for your Vercel AI SDK projects.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Glob Pattern Tester MCP to Vercel AI SDK

Create your Vinkius account to connect Glob Pattern Tester to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Instant path matching for Vercel AI SDK

Use `test_glob` to verify if your file paths align with specific patterns before they hit your build pipeline. This lets you catch configuration errors as your agent generates code. Your AI client processes the match result immediately. You get a boolean response that flows straight into your UI without waiting for a backend round trip.

Standardized glob logic in Vercel AI SDK

The server runs the exact logic found in git and npm. You aren't guessing how patterns resolve when using `test_glob`. Consistency matters when you're managing complex file structures. You get predictable behavior every time the tool executes a match check.

Production-ready pattern testing

Deploying with Vercel AI SDK requires strict adherence to include and exclude rules. This MCP Server gives your agents the ability to audit these rules on the fly. Stop debugging why a file was ignored by your build. Let the `test_glob` tool confirm the pattern logic while your application runs.

Setup guide

Set up Glob Pattern Tester MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Glob Pattern Tester tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Glob Pattern Tester transactions",
});

console.log(text);
await mcpClient.close();

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Common questions about Glob Pattern Tester MCP in Vercel AI SDK

Install the client via npm and connect the server endpoint. You call the `test_glob` tool within your `streamText` function to get instant path validation.
Yes, it uses the same underlying matching engine as git and npm. If your pattern works in your build config, it works here.
Absolutely. You pass the file path and the pattern to the tool during your agent's execution. It returns the match status immediately.
The tool validates the input and returns a clear result. It handles standard glob syntax without crashing your agent process.
Your file paths stay within your local environment or server session. We do not store or log the paths you check against your patterns.

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