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Enables AI applications to automate and interact with spreadsheet operations using the powerful Univer framework.
Provides a standardized interface for interacting with the Linear issue tracking system.
Integrates the Things task management app with Claude Desktop, enabling AI-powered task management.
Enables control of your smartphone via natural language commands within AI applications.
Integrates Neovim instances with AI assistants via a Model Context Protocol (MCP) server, enabling interactive control and access to diagnostic information.
Enables Google Developer Experts to report their activities to the Advocu GDE API through AI-powered conversational interfaces.
Provides programmatic control over custom operational mode configuration and management.
Delegate tasks to other LLMs by calling another MCP client from your MCP client.
Enables AI coding agents to interact with Unity projects.
Enables programmatic management of Jupyter notebooks, allowing interaction and manipulation of notebook content via code.
Integrates Matrix homeserver functionality, enabling chat, room management, and user interaction through a standardized interface.
Provides an MCP (Model Context Protocol) service for the Siyuan Note-taking application.
Provides compiler-grade Go language semantics to AI agents and LLMs for precise code analysis and optimized token usage.
Offers VOICEVOX text-to-speech functionality through the Model Context Protocol.
Enables LLMs to interact with Logseq graphs, create pages, manage blocks, and organize information programmatically.
Integrate GitGuardian's comprehensive secret detection and remediation capabilities directly into AI-powered development environments to prevent credential leaks.
Enables Large Language Models to execute complex, multi-step workflows by integrating cognitive actions and external tools.
Enables AI agents to communicate with and control Figma in real-time, facilitating dynamic design workflows.
Plans and orchestrates AI-driven software development by integrating with IDEs through the Model Context Protocol.
Enables natural language control of robots in ROS environments by interacting with topics, services, and actions.
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