A demonstration MCP server providing basic tools for returning greetings and performing mathematical addition. It serves as a practical workshop guide for setting up and configuring Model Context Protocol servers from scratch using Python.
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experimental gen ai mcp server to generate figma tokens
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A test of making a simple word editor using the Figma MCP server with Cursor. This test has been handholding cursor through all the components.
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A test of making a simple word editor using the Figma MCP server with Cursor. This test is a one shot prompt from Figma with all the components created. No clean up in the code.
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A simple MCP server for Figma
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Gives AI-powered coding tools like Cursor, Windsurf, and Cline access to Figma design files, enabling more accurate code generation directly from Figma designs.
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Automates the conversion of Figma designs into TypeScript React components and integrates with GitHub to create pull requests for the generated code. It includes visual regression testing with Playwright and accessibility validation to ensure implementations match the original designs.
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The fileAI MCP Server offers a robust set of tools to work with the fileAI file processing pipeline. It allows for uploading files, performing Optical Character Recognition (OCR), classifying documents, and extracting structured data. The server leverages the Model Context Protocol (MCP) to provide
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MCP server that enforces pre-read checks and detailed commit documentation
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Provides secure file system operations for AI assistants including directory listing, file reading/writing, deletion, searching, and copying. Features safety controls like path validation, permission checks, and file size limits.
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Provides tools for common file processing operations including reading files, listing directories, searching across files, getting file info, and counting lines with built-in security features like path traversal protection.
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Provides secure filesystem access for AI assistants with optimizations like file reading limits and depth-limited traversal to improve token efficiency. It enables AI models to read, write, and search files within explicitly allowed directories while automatically skipping large system folders.
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A Model Context Protocol server that provides secure, sandboxed file system operations including reading, writing, and managing files within a configurable base directory. It features robust path traversal protection to ensure all file interactions remain confined to a safe, restricted environment.
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Enables safe file system operations including reading, writing, updating, and deleting files with built-in security safeguards, automatic backups, and comprehensive error handling. Provides directory listing, file metadata extraction, and protects against operations on system-critical paths.
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Enables secure filesystem access with privacy controls using .mcpignore files to block MCP clients from reading or writing sensitive files and directories while allowing directory browsing and search.
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Enables interaction with the local file system and retrieval of system information. Provides tools for listing directories, reading files, getting current time, and basic greeting functionality.
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Enables AI agents to generate, manipulate, and perform algorithmic music using Strudel.cc live coding environment. Provides 46+ tools for pattern generation across multiple genres, music theory operations, real-time audio analysis, and AI-powered composition.
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Helps YouTube content creators find perfect background music for their shorts by analyzing script content for mood, theme, and pacing, then recommending suitable tracks from YouTube Music with confidence scoring and duration filtering.
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An MCP server that enables searching for specific files by name within the current directory and its subdirectories. It uses Server-Sent Events (SSE) to provide a find_file tool for locating local files and libraries.
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Enables AI agents to scan GitHub repositories for security vulnerabilities, deployment blockers, and code quality issues. It provides detailed findings and auto-generated code patches to help developers ensure their code is production-ready.
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