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    MCP server that exposes the OBBBA No Tax on Tips federal deduction logic as callable tools, enabling users to check eligibility and estimate tip deductions.
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    A FastMCP server for the Animagine XL 4.0 image generation experience that provides tools for prompt validation, optimization, and explanation. It also enables the management of local checkpoints and LoRAs to streamline diffusion workflows and ensure consistent prompt structure.
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    MIT
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    Enables LLMs like Claude to bidirectionally chat with diffusion-based LLMs (e.g., DiffusionGemma, LLaDA) via a persistent llama-diffusion-cli process, with support for restarting sessions and full configuration.
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    Enables AI agents to generate images on a local Stable Diffusion Forge Neo instance, automatically inferring prompt style and sampling parameters from the user's setup and past generations, and providing tools for LoRA search, model management, and module checks.
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    A Python MCP server that wraps the Gelbooru API. Connect it to any MCP-compatible client (Claude Desktop, Cursor, etc.) to search posts, look up tags, and generate Stable Diffusion prompts from real character appearance data — all directly from your AI assistant.
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    Enables Claude Code to call local generative AI services on a LAN, letting users list and chat with Ollama models and list checkpoints, LoRAs, and samplers or generate and save images via Stable Diffusion WebUI Forge Neo. Requests can be made in natural language, with per-call options for model, image size, and Hires.fix settings.
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    Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.
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    MIT
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    Plori runs AI agents in Workspaces. A Workspace is a project folder in the cloud. Several agents can work in it at the same time, each on its own copy of the files, and Plori merges their work back into the folder. Every version of the files is kept.
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    Provides tools for Bazi (Chinese astrology) chart calculation and analysis, enabling LLMs to generate accurate birth charts, determine patterns, and answer follow-up questions based on actual calculations rather than model knowledge.
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    MIT