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    Enables control of Sony TVs via IRCC remote commands through Model Context Protocol.
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    Enables AI assistants to read, write, query, and manage JSON data files with automatic ID and timestamp generation.
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    MIT
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    Provides browser automation capabilities for LLM applications, enabling web page interaction and data extraction via Playwright.
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    MIT
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    Enables AI agents to fully automate Appwrite backend operations with 143 tools covering databases, users, storage, functions, messaging, and more. Supports advanced features like GeoJSON attributes, file uploads, function deployment, and bulk operations.
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    Enables AI agents to inspect video camera clips through structured quantitative measurements such as exposure, color, sharpness, noise, and camera motion, returning JSON reports and visual scopes instead of relying on frame interpretations.
    MIT
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    MCP server for Jupyter notebook navigation and editing. Reads .ipynb files directly as JSON, providing efficient tools for reading, searching, and modifying cells without needing a Jupyter server.
    MIT
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    Enables interaction with the Sond Core API through the Model Context Protocol. Auto-generated from the OpenAPI specification at https://core-api-lb.sond.com/api-json to provide programmatic access to Sond's services.
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    An MCP (Multi-Agent Conversation Protocol) Server that enables interaction with the Giphy API, allowing users to search, retrieve, and manipulate GIF content through natural language commands.
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    Exposes eight QCA (quantum calibration) tools via a standards-based MCP stdio server for MCP-compatible agents to interact with backend status, experiments, schemas, parameters, dry-runs, history, and arrays.
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    Enables MCP clients to control Neural DSP Quad Cortex devices, including preset recall, block parameter editing, and device diagnostics through conversational commands.
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