How to Use the Clipboard History Searcher MCP in Vercel AI SDK

Search your copied text directly inside your Vercel AI SDK projects. Find old snippets in real-time without building custom parsers.

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Connect Clipboard History Searcher MCP to Vercel AI SDK

Create your Vinkius account to connect Clipboard History Searcher 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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Setup Clipboard History Searcher with Vercel AI SDK

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Search clipboard history in your Vercel AI SDK app

Feed your exported clipboard files directly into `search_clipboard_history`. The tool processes JSON and TXT exports from apps like Maccy or Ditto immediately. Your app gets the text content back instantly. Since this runs on Vercel AI SDK, the results stream into your UI components without any lag.

Filter past data using Vercel AI SDK tool calls

The `search_clipboard_history` tool parses your local history logs. You pass the search string, and it returns the matches found in your raw data. Everything happens inside the server context. You don't need to write custom regex or file-reading logic because the MCP Server handles the heavy lifting.

Build live search interfaces with Vercel AI SDK

Connect the `search_clipboard_history` tool to your frontend state. Your users see the exact code or text they copied hours ago right in their browser. It works with your existing streaming setup. Just pass the tool result to your generator and watch the data appear as it comes off the wire.

Setup guide

Set up Clipboard History Searcher 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Clipboard History Searcher tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 Clipboard History Searcher transactions",
});

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

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