History Searcher MCP. Find any URL, code snippet, or number you copied weeks ago.
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Clipboard History Searcher searches through exported clipboard history files (Ditto, CopyQ, Maccy) using your AI client. It quickly finds specific URLs, phone numbers, or code snippets you copied days or weeks ago, making historical data instantly retrievable.
What your AI agents can do
Search clipboard history
Parses exported clipboard history files (JSON/TXT) to make the contents searchable by your AI client.
Your AI client parses exported history files (JSON or TXT) and performs targeted searches across all stored clips.
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Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Clipboard History Searcher: 1 Tool
This MCP provides one tool that indexes historical clipboard data across different file formats for powerful searching.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Clipboard History Searcher on Vinkius019e3878search clipboard history
Parses exported clipboard history files (JSON/TXT) to make the contents searchable by your AI client.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 1 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Frustration of Lost Context
You copy a critical piece of information—a unique reference number, maybe an API key. You close the tab. By lunchtime, you need that same snippet for a different project and realize it's gone. You end up opening your clipboard manager, which gives you a massive log file full of everything from random memes to search queries. Finding that one specific data point feels like digging through a landfill.
With this MCP, the process is simple. You feed the history export into the system, and suddenly, every entry gets indexed. Instead of manually scrolling or filtering columns in a spreadsheet, you just tell your AI client what you're looking for, and it points exactly to the data point you need.
Search Clipboard History Searcher MCP
The manual steps of exporting, opening a text editor, pasting the massive log, and then using 'Ctrl+F' are gone. You skip all that. The AI client handles the parsing logic for you.
You now treat your entire copying history like a searchable database—a massive memory bank accessible through plain language queries. That’s it.
What you can do with this MCP connector
Ever copy something critical—a unique API key, a long URL, a block of SQL—only to realize you needed it last week? You'll dive into your clipboard manager logs, scrolling through hundreds of entries just to find that one piece of context. This MCP changes that. It takes the exported history file from tools like Ditto or CopyQ and makes every single entry searchable by your AI client.
Instead of manually sifting through JSON or plain text exports, you ask your agent what it needs, and it pulls the exact data point, citing where it was found in your past clips. Since Vinkius manages this catalog, connecting to this MCP gives your entire workspace a memory function for everything you've ever copied.
019e3878-a3a7-722f-84a3-29b374ca410b 
How History Searcher MCP Works
- 1 Export your clipboard manager's history into a plain text or JSON file.
- 2 Connect this MCP to your AI client and provide the exported file for indexing.
- 3 Ask your agent specific questions, like 'Find all URLs containing '.com'' to get immediate results.
The bottom line is you upload the log once; then, you query it repeatedly via natural language prompts.
Who Is History Searcher MCP For?
Anyone who relies on copy/paste in their job—developers, technical writers, or data analysts. If your day involves more than three tabs and a clipboard manager, this is for you.
Needs to recall specific error codes, dependency versions, or temporary API endpoints copied days ago during debugging sessions.
Frequently loses track of exact command syntax, reference URLs, or complex code examples they pasted while writing documentation.
Needs to find specific identifiers, sample transaction numbers, or unique data formats copied from various spreadsheets over time.
What Changes When You Connect
- Stop losing context. Instead of opening your clipboard manager and manually scrolling through logs, just ask your agent to find the data point using
search_clipboard_history. - Handles multiple formats. It reads both JSON exports (like from CopyQ) and plain text files (like Ditto), so you don't have to worry about file type compatibility.
- Pinpoints specific data types. Need a phone number or a GitHub URL? Your agent filters the history by pattern, giving you precise results immediately.
- It keeps your context flowing. You can pull important snippets without breaking your workflow, treating your copy history like a searchable database.
- Pure parsing power. This MCP uses native parsing methods; no external dependencies are required to read complex file structures.
Real-World Use Cases
Debugging old code
A developer is fixing an issue today but needs the exact API endpoint they copied last week. They ask their agent, 'What was that staging URL I used last Tuesday?' The agent uses search_clipboard_history and immediately provides the correct link and its timestamp.
Writing documentation
A technical writer needs to reference a specific command line argument copied during an early stage of development. They prompt their AI client, 'Show me all code snippets containing '--dry-run' from my history.' The agent pulls the exact syntax needed for the doc page.
Collecting data points
A student is researching a topic and copies several unique identifiers (ISBNs, product codes) over days. They upload the combined log file and ask their AI client to list them all, getting an organized summary they'd otherwise have to copy manually.
The Tradeoffs
Treating history as live data
Assuming that the last thing you copied is always correct or relevant for a current task, leading to using stale information.
→
Always use search_clipboard_history to verify if an old piece of copied data (like credentials or IDs) was actually needed and if it's still valid. Don't assume the clipboard is a reliable source of truth.
Manually searching file exports
Opening your local clipboard manager, scrolling through hundreds of entries in plain text, and manually filtering for 'URL' or 'phone number'.
→
Just connect this MCP to your AI client. You provide the export once; then you ask the agent directly using search_clipboard_history.
Ignoring file format differences
Using one search method that only reads plain text, causing it to miss structured data like timestamps or tags stored in a JSON export.
→ This MCP supports both JSON and plain text formats, so you can send the file type your manager outputs without losing any context.
When It Fits, When It Doesn't
Use this if you frequently lose important copied content—URLs, code snippets, IDs—and need to retrieve them based on keywords or patterns from old logs. This MCP is purely a diagnostic tool for historical context; it doesn't monitor your clipboard in real time, and it only searches the data contained within the exported history file. Don't use this if you just need to see what was copied five minutes ago—your operating system handles that. Use dedicated state management tools if you require real-time tracking or synchronization across devices.
Common Questions About History Searcher MCP
Which clipboard managers are supported? +
Any manager that exports as JSON or plain text: Ditto (Windows), CopyQ (cross-platform), Maccy (macOS), Clipy (macOS).
Does it capture images from clipboard? +
No, this parser focuses on textual clipboard entries to save AI context tokens.
Is my clipboard data sent to the cloud? +
No. Parsed locally. Only text entries are sent to AI context during your session.
How does `search_clipboard_history` handle different file formats? +
It handles both JSON and plain text files. You can pass in an export from CopyQ (JSON) or a simple TXT dump from Ditto, and the MCP will parse it correctly.
Does `search_clipboard_history` have limits on how many clips it searches? +
Yes, to prevent context overflow, the tool shows up to 200 clips per search. This limit ensures the data stays within the AI's working memory while still giving you a massive search scope.
What is required before I can use `search_clipboard_history`? +
You must export your clipboard history file first. The MCP needs a physical input—a JSON or TXT dump—to process the data; it cannot access the active, live clipboard.
How does `search_clipboard_history` identify code snippets versus regular text? +
The tool uses advanced parsing logic to categorize content. It doesn't just look for keywords; it detects patterns typical of programming languages like Python, JavaScript, and SQL.
What happens if the clipboard history file I provide is empty or corrupted? +
The MCP handles these situations gracefully. If the input file cannot be parsed or contains no data, it sends a clear error message back to your agent instead of failing.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.