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    Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.
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    47 npm
    MIT
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    Enables general-purpose Windows desktop automation via MCP tools: opening applications and URLs, taking screenshots, checking whether processes are running, and waiting.
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    MIT
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    Bridges MCP clients with ChatKazi WhatsApp API, enabling AI models to manage WhatsApp sessions, monitor connection states, and send text/media messages.
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    8 npm
    3
    ISC
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    An MCP server that gives AI agents full access to a personal Telegram account via MTProto, enabling chat reading, history search, messaging, media handling, and automations.
    79
    MIT
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    Controls JupyterCAD using natural language, enabling creation, modification, and boolean operations on 3D CAD models.
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    Apache 2.0
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    Connects Claude AI to Blender through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, material control, and object manipulation. Supports integration with Poly Haven assets and Hyper3D for AI-generated models.
    13
    MIT
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    Provides general-purpose utility tools for Computer Agent ecosystem integration, including meeting data downloads from Read.AI platform and server status monitoring. Currently supports basic utility operations with planned expansion for more productivity tools.
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    An MCP server enabling secure interaction with n8n workflows, executions, and settings via the Model Context Protocol, designed for integration with Large Language Models (LLMs).
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    50 npm
    118
    MIT
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    Enables Cursor AI to interact with Figma designs, allowing users to read design information and programmatically modify elements through natural language commands.
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    860 npm
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    A Model Context Protocol server that enables Large Language Models to interact with ClickUp workspace tasks and data, allowing creation and retrieval of tasks through natural language.
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    268 npm
    6
    MIT
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    Automates the conversion of Figma designs into TypeScript React components and integrates with GitHub to create pull requests for the generated code. It includes visual regression testing with Playwright and accessibility validation to ensure implementations match the original designs.
    5
    25 npm
    MIT