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Converts addresses into GPS coordinates and generates map images using the Geoapify API.
Manages desktop images by providing functionalities for image file statistics, viewing details, and compression.
Enables development and testing of Model Context Protocols without application resets.
Enables AI assistants to interact directly with ToolJet instances through the Model Context Protocol.
Demonstrates an AI agent querying system CPU and memory statistics from a local server.
Connects LLM-driven music generation to digital audio workstations (DAWs) via a virtual MIDI device.
Facilitates querying comprehensive drug information from the OpenFDA API through a Model Context Protocol server.
Facilitates operations on Office files including Excel, Word, PowerPoint, and Outlook.
Provides a production-ready remote Model Context Protocol server featuring enterprise authentication, multi-method user authentication, and comprehensive reflection capabilities.
Indexes and serves Protocol Buffer definitions from a local folder to enhance AI coding assistant capabilities.
Provides spatial context to Large Language Models by integrating geographic data services from the Géoplateforme.
Enables AI assistants to dynamically generate technology-specific prompts and comprehensive templates for PRD, codebase, and bug analysis.
Provides a terminal-based file manager for GitHub starred repositories, enabling organization and AI-driven management.
Provides a persistent semantic memory and context management system for AI agents, enabling cross-session continuity for Claude, Gemini, and Codex.
Simplifies the configuration process for OpenCode setups, allowing users to adjust settings without programming knowledge.
Parses and queries Obsidian tasks from markdown files using core Tasks plugin filters without relying on the REST API.
Establishes a universal microservices foundation with storage-agnostic APIs, supporting relational, document, cloud, and embedded database engines.
Enables natural language querying and interaction with rasdaman databases by exposing its functionality as tools to Large Language Models.
Provides AI agents with comprehensive control over a filesystem, enabling file operations, command execution, and process management.
Empowers AI coding agents with essential patterns, best practices, and tools for building on Snowflake.
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