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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.
    1
    MIT
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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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    MIT
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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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    MIT
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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.
    14
    MIT
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    An MCP server exposing every documented Email on Acid API v5 request as a tool — 24 tools across authentication, email client lists, email rendering testing, and spam testing.
    MIT
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    Provides access to government development, geography and land information data through a FastMCP interface, including data on new building plans processed by the Building Authority.
    1
    MIT
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    Enables AI to display its current mood as a locally generated ASCII face using Stable Diffusion, with a tool feel(emotion) that the AI can call to update the terminal display.
    MIT
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    InferBench's MCP server lets coding agents run, serve and benchmark local LLMs (text + image, llama.cpp + Stable Diffusion) on your own hardware on demand — measuring real tokens/sec and picking the optimal quant for your GPU from a 124-model catalog. Local-first, no cloud required.
    2
    MIT