How to Use the Clipboard History Searcher MCP in Mastra AI

Connect Clipboard History Searcher to Mastra AI. Automate your research by digging through past copies with agentic workflows.

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Connect Clipboard History Searcher MCP to Mastra AI

Create your Vinkius account to connect Clipboard History Searcher to Mastra AI 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 Mastra AI

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Automate clipboard retrieval in Mastra AI

Add `search_clipboard_history` to your agent definition. The Mastra AI framework will trigger this tool whenever an agent needs to find a previous copy. It handles the lookup automatically. If your workflow needs a piece of data from your history, the agent fetches it without human help.

Handle clipboard search failures in Mastra AI

Use the workflow engine to retry `search_clipboard_history` if a file path is locked. You can set up logic to handle missing exports gracefully. This keeps your agent running. If a search fails, the workflow catches it and notifies you instead of crashing.

Integrate history search into Mastra AI agents

The tool exposes your clipboard exports to the agent's memory. You can query past URLs or snippets as part of a multi-step task. It works natively with the Mastra AI tool registry. Just register the server and start calling the search function in your agent scripts.

Setup guide

Set up Clipboard History Searcher MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Clipboard History Searcher tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "clipboard-history-searcher-mcp-client",
  servers: {
    "clipboard-history-searcher-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Clipboard History Searcher Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Clipboard History Searcher tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Clipboard History Searcher transactions"
);
console.log(result.text);

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Common questions about Clipboard History Searcher MCP in Mastra AI

Register the server URL in your agent config. The Mastra AI framework then makes the search tool available to your tasks.

Yes. You can chain it into any workflow. If an agent needs a snippet, it calls the tool and waits for the result.

Your clipboard exports never leave your machine. The agent only gets the specific text match requested.

Absolutely. Agents can look back at your history to find context for current tasks.

The tool reads the file and extracts the relevant lines. It avoids loading unnecessary bloat.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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