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Provides detailed character analysis for text, including counting total characters, letters, numbers, and symbols.
Facilitates the creation of AI chat applications with multi-model support, secure user data isolation, and advanced conversation management.
Simplifies building Deno-based Model Context Protocol (MCP) servers with robust OAuth and workflow capabilities.
Provides deep insight into system and running processes, enabling local LLM agents to analyze machine state and offer real-time solutions.
Provides a Node.js server to fetch current time and official workdays, holidays, and makeup workdays for specific years and months, integrating multiple data sources.
Generates high-quality images using the Doubao API, integrated via the Model Context Protocol (MCP) for AI assistant interaction.
Enables AI Agents to manage Minecraft server instances and related services through MCSManager via the Model Context Protocol.
Exposes i3 window manager functionality for natural language control via AI assistants.
Connects local Model Context Protocol (MCP) clients, such as IDEs and LLMs, to remote MCP servers over HTTP/SSE, acting as a robust proxy and multiplexer.
Facilitates command-line interaction with LLMs, supporting MCP.
Implements a Model Context Protocol server in Rust, offering functionalities for LLM integration.
Enables manipulation of Excel files through native COM automation via a Model Context Protocol (MCP) server utilizing xlwings.
Enables Large Language Models to connect to and utilize SSH servers through a Model Context Protocol (MCP) integration.
Scans codebases for definitions, respecting .gitignore and outputting LLM-friendly formats.
Enables database interaction through MySQL, supporting SQL queries, table creation, and schema exploration.
Enables security-focused large language model agents to natively access and utilize the urlDNA threat intelligence platform for threat detection and URL analysis.
Provides an LLM-friendly PowerPoint design system with server integration for programmatic presentation generation.
Connects AI models to real-time information about SpringOne conference sessions and speakers using the Model Context Protocol (MCP).
Integrates Google's Gemini API, offering a direct interface for AI model interactions including text, image, and video generation.
Implements a Model Context Protocol (MCP) server for SimpleLocalize to facilitate LLM-driven localization workflows.
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