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Exposes Holaspirit data to AI assistants through a Model Context Protocol (MCP) interface.
Exposes Joplin's local REST API as Model Context Protocol tools for AI integration.
Orchestrates video management, intelligent search, and generative editing within the Video Jungle platform via large language models.
Enables AI assistants to interact with your Lunch Money account for managing personal finances.
Enhances AI assistant capabilities with robust context management, accuracy enforcement, and safety protocols.
Connects Claude Desktop to AI Note, enabling natural language interaction with your tasks for streamlined management.
Optimizes and resizes images using the TinyPNG API, integrated as a Model Context Protocol server.
Provides an example server implementation that connects to a REST endpoint for managing todo items.
Empowers AI agents to interact with Leiga, a project management platform, for comprehensive issue management.
Enables AI assistants to manage AgilePlace projects and tasks through a comprehensive Model Context Protocol (MCP) server.
Grounds AI agents in factual project reality and official documentation, preventing hallucinations during development sessions.
Provides large language models with seamless Git repository interaction and automation capabilities through a Model Context Protocol server.
Establishes a structured, secure, and extensible architecture for exposing Python tools to Large Language Models (LLMs) and agent systems.
Enables LLMs to audit and interact with ClickUp workspaces, spaces, lists, and custom fields.
Provides real-time US National Weather Service data for use within Claude clients.
Scrapes and provides detailed job vacancy information for agents to consume via a local MCP server.
Provides a Model Context Protocol server for integrating with KanbanFlow, enabling programmatic access to board and task data.
Facilitates lead management within Kylas CRM by exposing lead operations through a Model Context Protocol server.
Enhances GitHub Copilot with AI-powered media generation and local image processing capabilities for text, image, video, and audio.
Analyzes YouTube Shorts creators' styles to generate shot-by-shot filming guides matching their unique creative approach.
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