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Enhances Google Gemini's capabilities by enabling interaction with external tools and APIs from a command-line interface.
Connects AI assistants to GitHub-hosted Obsidian vaults, enabling seamless reading, searching, and analysis of notes and documentation.
Enables AI large language models to interact with Feishu (Lark) APIs, primarily supporting multidimensional table operations through tool calls.
Provides detailed information about your development environment to enhance code editor assistance.
Provides detailed 8-day global weather forecasts and current weather conditions using the OpenWeatherMap One Call API 3.0.
Converts PNG, JPG, and JPEG images to WebP format in batches with cross-platform support.
Enables AI clients to interact with Graphisoft Archicad by running a server for its Tapir add-on.
Enables the Claude desktop app to execute terminal commands, manage processes, and perform file system operations, including code editing.
Provides a Model Context Protocol (MCP) server for Linear, enabling issue tracking and project management.
Manages todo items using a Model Context Protocol (MCP) server with SQLite database storage.
Enables seamless integration with Rosetta and PyRosetta, facilitating the execution of RosettaScripts, XML validation, and direct access to molecular modeling tools within an MCP client.
Provides a scriptable desktop chat application for interacting with various Large Language Models (LLMs).
Extends Large Language Models' capabilities to access comprehensive Emacs environment and configuration information.
Connects to Linear for streamlined task management.
Enables AI assistants to manage and interact with Apple Reminders on macOS via the Model Context Protocol.
Orchestrates the entire software development lifecycle, bridging Product Managers, Developers, and AI to transform product ideas into reality.
Implements a minimal todo application as a Model Context Protocol (MCP) server.
Precisely converts values between various units of measurement.
Enables AI agents to interact with n8n workflows using natural language via a Model Context Protocol (MCP) server.
Enables AI assistants to access Automatisch workflow automation capabilities through the Model Context Protocol.
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