File Systems

Enables checking git repository status and viewing recent commit history through natural language queries. Supports error handling for non-git directories and allows specifying custom directory paths.

Enables AI agents to interact with Windows operating systems by providing tools for UI automation, file navigation, application control, and system operations. Works with any LLM to perform tasks like clicking, typing, launching applications, and executing PowerShell commands through native Windows integration.

Enables easy gRPC requests and Protocol Buffer file information retrieval through natural language commands. Supports unary RPCs with SSL, timeout configuration, and response time statistics.

Enables exploration and analysis of NetCDF scientific data files through intuitive APIs. Supports file discovery, metadata inspection, data extraction with slicing, smart sampling for large datasets, and time series analysis.

Gives AI coding assistants persistent memory, safety controls, and project awareness by tracking coding sessions, protecting critical files from modifications, and managing approval workflows with automatic changelog generation.

Generates AI-powered prompts for creating markdown slide presentations and saves them as Marp-compatible files. Supports customizable presentation styles, templates, and direct file creation for professional slideshows.

Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.

Indexes local files (PDF, TXT, CSV, Markdown) with embeddings for semantic search. Provides both CLI and MCP server interfaces so Claude Desktop can search and read your local documents.

Provides a comprehensive suite of tools for agents to access Deva Agent Resources, including social networking, AI-powered generation, web search, and file storage. It supports automated USDC payment flows for paid resources and integrates with major MCP clients like Claude Desktop and Cursor.

Enables AI-powered document analysis and querying for project documentation using vector embeddings stored in Redis. Supports document upload, context-aware Q\&A, automatic test case generation, and requirements traceability through OpenAI integration.

FlixBridge is a Model Context Protocol (MCP) server that bridges AI assistants with media management services. It provides a unified interface for monitoring downloads, managing libraries, and automating media workflows.

A comprehensive learning platform for Model Context Protocol development that teaches MCP concepts through hands-on modules including text processing, file operations, and database integration. Designed as an educational tool with progressive difficulty levels from basic to advanced MCP server development.

Provides local-first memory storage and retrieval with automatic embedding, vector search, and knowledge graph capabilities. Enables agents to store memories locally and retrieve relevant context through hybrid search with optional Neo4j graph traversal.

Enables automated collection and AI-powered filtering of public QQ channel posts, comments, and images. Supports natural language criteria for content filtering and provides structured data storage in JSON/CSV formats.

A tutorial MCP server for learning the Model Context Protocol by building file and system tools. Provides hands-on experience creating custom tools that enable AI models to interact with files and execute system commands.

Enables AI assistants to generate high-quality images using OpenAI's DALL-E 3 model with configurable parameters like size, quality, and style. Generated images are automatically saved to the local filesystem with comprehensive error handling.

Enables Claude to solve complex problems systematically by breaking them down into 3-4 structured thinking steps. Features document caching and multiple profiles including specialized modes for SuperClaude and SuperGemini frameworks.

A lightweight short-term memory MCP server that automatically stores and recalls working context, session state, and task progress for AI agents. Memories auto-expire after 24 hours and integrate seamlessly with workspace-aware storage across multiple projects.

Enables parsing, downloading, and converting HLS (m3u8) streaming media through FFmpeg integration. Provides a desktop application with MCP server capabilities for handling streaming playlists, extracting segments, and managing video downloads.

Enables AI agents to interact with your personal WhatsApp account, allowing them to search messages and contacts, retrieve chat history, and send messages to individuals or groups. Uses WhatsApp Web API with local data storage for privacy and security.

Enables creating and managing user profiles with interactive elicitation capabilities that prompt users for missing required information. Demonstrates MCP's elicitation feature by validating profile data and requesting additional details when fields are incomplete.

Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.

Enables interaction with Docker Hub through Claude to search images, get image details, list tags, analyze layers, and manage manifests. Provides secure credential storage with encrypted Docker Hub Personal Access Tokens in a MySQL database.

Enables route search and PDF generation using Japan's Ekispert API through a remote MCP server. Deployed on Cloudflare Workers with secure OAuth authentication and persistent PDF storage via R2.

Enables integration with Figma through the Model Context Protocol, allowing users to interact with Figma designs and files using their Personal Access Token. Provides containerized deployment options and Server-Sent Events endpoint for real-time communication.

Enables users to manage data in a simple JSON file database through MCP tools and REST API. Supports creating, reading, updating, and deleting items organized in collections with auto-generated UUIDs.

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.

Provides access to a specific GitHub repository (my-notion) allowing AI assistants to browse files, read content, and track commit information. Enables real-time interaction with repository data through the GitHub API without authentication requirements.

Enables querying, searching, and analyzing Cursor IDE conversation history from SQLite workspaceStorage databases. Supports exporting chat data in multiple formats and provides workspace utilities for managing conversation data across projects.

Enables comprehensive Slack workspace automation and management through the Slack API. Supports messaging, channel management, analytics, file uploads, polls, user management, and advanced features like scheduled messages and bulk operations.