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    Enables structured yes/no, choice, and score decisions through MCP, a terminal, or HTTP using a self-hosted DiffusionGemma backend.
    1
    Apache 2.0
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    MCP server that provides vision capabilities to coding agents, enabling them to analyze screenshots, UI mockups, terminal errors, documents, tables, and charts through OpenAI-compatible vision models. Supports local stdio and remote HTTP deployments with structured JSON output and binary upload side channels.
    8
    14 npm
    MIT
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    Enables AI assistants such as Claude to list and upload images on an image annotation platform, add, replace, or remove pins, polygons, circles, rectangles, and arrows, edit image metadata, and export annotations as COCO JSON or YOLO training data. It can run over stdio or Streamable HTTP so multiple clients can share one server, with an included LangGraph terminal agent.
    22
    1,701 PyPI
    MIT
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    Drives Google Flow from an agent or the terminal: Veo text-to-video, image-to-video and clip extension, plus Imagen image generation. Runs locally against your own Google account with Flow access; video generation bills that account's credits.
    19
    2,328 PyPI
    334
    MIT
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    Security gateway for MCP tool calls. Sits between your LLM client and MCP servers, enforcing per-tool policies (allow/block/approve/read-only), logging every call, and pausing dangerous operations for human approval in terminal or Slack.
    4 npm
    2
    MIT
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    Lets MCP-compatible clients and coding agents search, list, filter, and retrieve details from a curated catalog of 378 AI agent frameworks, developer tools, and automation repositories using natural language, with bilingual (English/Georgian) descriptions and category, language, and result-limit options. The same catalog is also reachable from the terminal via an accompanying command-line interface.
    MIT
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    Enables MCP-compatible developer environments to shrink verbose tool outputs—test logs, git diffs, directory listings, and file dumps—before they reach the context window, preserving compiler errors, failure signatures, and decisive anchors. It runs either as direct callable tools or as a transparent proxy wrapping other MCP servers such as filesystem, git, or terminal providers.
    1
    MIT
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    Enables chat with Claude AI via terminal, supporting document retrieval, command-based prompts, and extensible tools through the Model Context Protocol.
    1,809 npm
    MIT
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    maintenance
    Lightweight terminal MCP protocol conversion gateway engine that automatically converts any OpenAPI/Swagger REST API into MCP-compatible tools for AI coding assistants like Claude Code and Cursor.
    MIT
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    B
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    Enables MCP clients and a terminal CLI to run web searches through a user's own SearXNG instance, saving every query as a reusable session and optionally generating AI-synthesized answers.
    48 npm
    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