This MCP server implementation provides a comprehensive toolbox for enhancing Large Language Models (LLMs) through various API integrations and utilities. Developed by ai-zerolab, it offers tools for executing command line instructions, interacting with Figma files, and performing file operations. The server is designed with an extensible architecture, allowing easy addition of new API integrations. It supports Claude Desktop and other MCP-enabled LLMs, making it suitable for a wide range of use cases including UI/UX design workflows, automated file management, and enhanced LLM interactions with external services.
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Execute a command line instruction.
Read content from a file.
Write content to a file.
Replace content in a file using regular expressions.
List directory contents with detailed information.
Get a Figma file by key.
Get specific nodes from a Figma file.
Get images for nodes in a Figma file.
Get URLs for images used in a Figma file.
Get comments on a Figma file.
Post a comment on a Figma file.
Delete a comment from a Figma file.
Get projects for a team.
Get files for a project.
Get components for a team.
Get components from a file.
Get a component by key.
Get component sets for a team.
Get styles for a team.
Get styles from a file.
Get a style by key.
Download a podcast episode from XiaoyuZhouFM with optional automatic m4a to mp3 conversion.
Get the length of an audio file in seconds.
Get transcribed text from a specific time range in an audio file.
Use the tool to think about something and append the thought to the log.
Get the current session ID.
Store a memory (brief and detail) in the memory database.
Query memories from the database with semantic search.
Clear all memories in the memory database.
Convert any file to Markdown using MarkItDown.
Convert a URL to Markdown using MarkItDown.
Get HTML content from a URL.
Save HTML from a URL to a file.
Search the web using Tavily (requires API key).
Search the web using DuckDuckGo (requires API key).
Generate an image using the Flux API and save it to a file.
