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.
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
No reviews yet. Be the first to review!
Sign in to join the conversation
Highlight AI