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    fixRAgent triages one photo of a building problem: what it is, how urgent (EMERGENCY, TODAY, THIS WEEK or WHENEVER), which trade to call, and what to tell the resident. Remote server at https://fixragent.com/mcp with three tools: try_sample, assess_property_photo, get_triage_profile. No key needed to start.
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    MIT
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    Enables drawing commands to be rendered into raster images, supporting shapes like lines, rectangles, circles, ellipses, and triangles, with results returned as inline PNGs or saved to files.
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    Apache 2.0
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    Enables AI agents to author node-graph-based procedural graphics as data and render them deterministically via a pinned headless engine, returning validated, hashed image artifacts with full provenance.
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    MIT
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    Enables an AI agent to capture a photo via a live camera preview, returning the image to the agent and saving it locally.
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    MIT
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    Local stdio MCP service that calls GPT Image API to generate images from text, edit images with references or masks, and save images locally while returning absolute paths and file URIs.
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    25 npm
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    MIT
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    A Model Context Protocol server that renders Apache ECharts options to SVG, enabling AI agents to generate deterministic charts server-side without a browser.
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    16 npm
    Apache 2.0
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    Local design engine for AI Agents. Create, edit and export real, editable designs — social posts, flyers, print-ready PDFs — with your brand applied. Every design opens in a built-in editor, so you can click the text and fix it yourself instead of re-prompting. Bring in what you already have: InDesign, PSD, PPX and PDF files come in as editable designs. Runs on your machine, no account needed.
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    MIT
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    Renders LEGO LDraw model files (.ldr, .mpd, .dat) to high-quality images using headless Blender, enabling MCP clients to visually inspect LEGO builds.
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    94 PyPI
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    MIT
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    Image, video, chat and text-to-speech models (GPT Image, Gemini Image, Veo, Kling, Seedance, Claude, GPT, Gemini) behind one API key. generate_image returns a preview the model can see, and review_image has a vision model critique the result and propose a corrected prompt, so an assistant can generate, check and fix images on its own.
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    206 npm
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    MIT
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    Enables AI agents to perform deterministic, non-generative image transformations—straightening, cropping, masking, layering, color adjustments, and encoding—as reproducible recipes while preserving immutable originals.
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    MIT
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    Enables AI image generation, editing, and composition using Google's Gemini image models (Nano Banana Pro and Nano Banana). Supports text-to-image generation, multi-image composition, flexible aspect ratios, high-resolution output up to 4K, and real-time information grounding.
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    MCP server that gives text-only AI agents the ability to understand images via vision tools, including multi-image analysis, OCR, comparison, and structured extraction. It uses providers like OpenAI, Anthropic, Gemini, and OpenRouter to return plain text descriptions.
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    16 npm
    MIT
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    Enables AI agents like Claude Code and Codex to read handwriting and sketches drawn on a tablet in real time via MCP, with local recognition to text/LaTeX, session recording, and export to Markdown/Excalidraw.
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    MIT
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    Check and fix link previews from your agent: scan any URL for Open Graph problems, generate on-brand OG images, create short links with their own preview, and read link stats. Needs a Shareglow API key (free plan): https://app.getshareglow.com/developer
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    MIT