Clipboard

About

The Clipboard MCP server provides a innovative method for AI agents to interact with file systems, focusing on pattern-based copy and paste operations instead of rigid exact-string matching. This approach drastically reduces the amount of context tokens an AI needs to consume and makes file manipulations more resilient to minor formatting differences. By leveraging familiar text landmarks like function names or comments, it enables AI agents to efficiently refactor code, reorganize content, and manage files with greater precision and less overhead, streamlining automated development workflows.

Key Features

• Pattern-based content selection using start/end patterns or line counts
• 0 GitHub stars
• Designed for context-efficient operations with AI agents
• Flexible target insertion points (before, after, or replace a marker)
• Robust to whitespace and formatting variations in code
• Support for 'cut' (move) operations alongside copy

Use Cases

• Moving or copying functions and code blocks between different files
• Automating refactoring and code reorganization tasks for AI agents
• Inserting code snippets or configuration based on textual markers