How to Use the Clipboard History Searcher MCP in OpenAI Agents SDK

Q: How do I connect Clipboard History Searcher to OpenAI Agents SDK?

Install the SDK with pip, then initialize MCPServerStreamableHttp pointing to your Vinkius MCP Server endpoint. Pass this server instance in the mcpservers list when creating your Agent.

Q: Does Clipboard History Searcher support tool caching in OpenAI Agents SDK?

It does. You should set cacheToolsList=True in your MCP configuration. This prevents the SDK from making repeated HTTP requests to fetch the tool schema during agent handoffs.

Give your OpenAI Agents SDK production pipelines direct access to your local clipboard history files without leaking raw logs.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Clipboard History Searcher MCP to OpenAI Agents SDK

Create your Vinkius account to connect Clipboard History Searcher to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Clipboard History Searcher with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Parse local clipboard dumps in OpenAI Agents SDK

The `search_clipboard_history` tool lets your agent scan exported JSON or TXT dumps from Maccy, Ditto, or CopyQ directly from your Python code. You no longer have to manually copy and paste old terminal output or API payloads into your prompts. You configure the server URL, drop it into your Python agent setup, and let the model find that lost API key or SQL query from Tuesday. It avoids feeding massive raw log files into the model context by running targeted searches.

Guardrailed search execution for production

The `search_clipboard_history` tool executes under the strict guardrails of the OpenAI Agents SDK to prevent runaway token usage. The SDK checks search parameters before they run, keeping your agent from executing wildcards that dump megabytes of text. You get full tracing on your OpenAI dashboard. If an agent tries to pull data from a restricted clipboard file, the SDK catches it, showing you exactly what query was run and how many matches came back.

Optimized tool discovery and caching

The `search_clipboard_history` tool schema is cached locally when you set the caching parameter to true in your agent setup. Production systems cannot afford the latency of querying the MCP Server tool list on every single run. This makes agent handoffs fast. A triage agent can quickly decide to hand the task to a search agent without waiting for network roundtrips to discover what tools are available.

Setup guide

Set up Clipboard History Searcher MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Clipboard History Searcher tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Clipboard History Searcher tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Clipboard History Searcher tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Clipboard History Searcher Agent",
            instructions="You have access to Clipboard History Searcher tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by clipboard-native. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Clipboard History Searcher now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Clipboard History Searcher MCP in OpenAI Agents SDK

Install the SDK with pip, then initialize `MCPServerStreamableHttp` pointing to your Vinkius MCP Server endpoint. Pass this server instance in the `mcp_servers` list when creating your Agent.

Yes. The search tool handles raw JSON and TXT exports from Maccy, Ditto, or CopyQ. The agent processes the file on the server side and returns only the relevant matches, keeping your context window clean.

It does. You should set `cacheToolsList=True` in your MCP configuration. This prevents the SDK from making repeated HTTP requests to fetch the tool schema during agent handoffs.

The SDK intercepts the tool call before it runs. If the agent generates an invalid query, the SDK rejects it and prompts the model to correct the parameters, keeping your production pipeline from crashing.

Your exported clipboard files are parsed inside a secure, ephemeral V8 isolate container. Vinkius does not store your clipboard history or log the contents of the files. The data is processed in memory and discarded immediately after the tool run completes.

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