Enables AI models to interact with external systems by providing Model Context Protocol (MCP) servers for file system and MongoDB database operations.
Enables AI assistants to securely interact with the file system for various operations.
Provides a Model Context Protocol (MCP) server for managing the Hadoop Distributed File System, enabling integration with MCP-compatible clients.
Enables AI systems to interact with Google Drive for file and folder management.
Provides file system operations via a Model Context Protocol (MCP) server-client architecture.
Integrates macOS system tools into LLM clients for real-time performance monitoring, advanced file search, and tag management.
Provides a secure, read-only server for filesystem scanning, searching, and analysis with comprehensive security validation.
Enables programmatic introspection, task execution, and test running for Gradle projects, with integrated support for Develocity Build Scans.
Provides a curated list of resources related to Model Context Protocol (MCP) servers.
Provides a comprehensive set of tools for AI-driven development workflows, enabling AI to assist in software development tasks by accessing both local and remote resources.
Integrates Microsoft's Edit CLI into chat workflows via the Model Context Protocol.
Manages file system and Git repository operations for automated workflows, particularly within n8n.
Builds custom Model Context Protocol (MCP)-based agents that integrate with large language models (LLMs) to perform intelligent and secure file system operations.
Execute Deno TypeScript/JavaScript code securely within an LLM environment, integrating powerful runtime capabilities into AI workflows.
Locates files within a file system based on a provided path fragment and returns the results in JSON format.
Provides a local server for programmatic control and automation of 7-Zip archive and file system operations.
Provides a secure and comprehensive Model Context Protocol (MCP) server for managing file system operations, designed for integration with AI assistants like Claude Desktop.
Monitors file system changes in real time, applies machine learning for anomaly detection, secures data with RS256 encryption, and leverages Agentic AI for adaptive detection algorithms and report translation.
Provides file system context to Large Language Models (LLMs) for enhanced code analysis and searching.
Enhances Large Language Model interactions by providing a persistent memory store, real-time file system monitoring, and intelligent context injection for development environments.
Orchestrates AI-powered development operations by intelligently routing queries across multiple backends with automatic failover and advanced error prevention.