{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_flrngel-mcp-painter","slug":"flrngel-mcp-painter","name":"Drawing Tool for AI Assistants","type":"mcp","url":"https://smithery.ai/servers/flrngel/mcp-painter","page_url":"https://unfragile.ai/flrngel-mcp-painter","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:flrngel/mcp-painter"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_flrngel-mcp-painter__cap_0","uri":"capability://image.visual.canvas.based.drawing.manipulation","name":"canvas-based drawing manipulation","description":"This capability allows users to create and manipulate drawings on a simple canvas interface. It uses a lightweight rendering engine to handle real-time drawing operations, enabling users to interactively create filled shapes. The architecture supports layer management and event-driven updates, ensuring smooth user experiences while drawing. This makes it distinct as it combines a user-friendly interface with efficient rendering techniques.","intents":["How can I create interactive drawings for my AI assistant?","What tools can I use to manipulate shapes on a canvas?","How do I implement a drawing feature in my application?"],"best_for":["developers building visual applications for AI assistants"],"limitations":["Limited to 2D shapes; complex 3D rendering is not supported","Performance may degrade with high-resolution canvases"],"requires":["Web browser with HTML5 support"],"input_types":["user gestures","shape parameters"],"output_types":["image files (PNG, JPEG)","canvas data"],"categories":["image-visual","ai-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_flrngel-mcp-painter__cap_1","uri":"capability://image.visual.shape.export.functionality","name":"shape export functionality","description":"This capability enables users to export their drawings as image files in various formats. It leverages a built-in export function that converts the canvas content into high-quality PNG or JPEG images, ensuring that the output retains the visual fidelity of the original drawing. The tool integrates seamlessly with the canvas rendering engine to facilitate this process without requiring additional libraries.","intents":["How can I save my drawings as image files?","What formats can I export my created shapes to?","How do I integrate image export functionality into my application?"],"best_for":["developers needing to export visual content from AI applications"],"limitations":["Exported images may not support transparency in all formats","Limited to raster formats; vector export is not available"],"requires":["Web browser with HTML5 support"],"input_types":["canvas content"],"output_types":["image files (PNG, JPEG)"],"categories":["image-visual","ai-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_flrngel-mcp-painter__cap_2","uri":"capability://image.visual.filled.shape.creation","name":"filled shape creation","description":"This capability allows users to create filled shapes on the canvas by specifying parameters such as shape type, size, and color. It employs a geometric rendering algorithm that calculates the pixel data for each shape, ensuring that the fill is applied uniformly and efficiently. This capability is designed to be intuitive, allowing users to create complex designs with minimal input.","intents":["How can I create filled shapes in my drawing application?","What methods are available for specifying shape attributes?","How do I implement shape creation features for users?"],"best_for":["developers creating drawing tools for educational or creative applications"],"limitations":["Only supports basic geometric shapes; no complex polygons or custom shapes","Limited color palette options"],"requires":["Web browser with HTML5 support"],"input_types":["shape type","size","color"],"output_types":["canvas content"],"categories":["image-visual","ai-tools"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":36,"verified":false,"data_access_risk":"moderate","permissions":["Web browser with HTML5 support"],"failure_modes":["Limited to 2D shapes; complex 3D rendering is not supported","Performance may degrade with high-resolution canvases","Exported images may not support transparency in all formats","Limited to raster formats; vector export is not available","Only supports basic geometric shapes; no complex polygons or custom shapes","Limited color palette options","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.4441752959971026,"quality":0.31,"ecosystem":0.38999999999999996,"match_graph":0.25,"freshness":0.5,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:26.346Z","last_scraped_at":"2026-05-03T15:18:31.930Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=flrngel-mcp-painter","compare_url":"https://unfragile.ai/compare?artifact=flrngel-mcp-painter"}},"signature":"55p6jBcxZe6PFK1QK45Sw++KR15sBAFH7c3lYdo7dLAyRqMyHAyUL/ftrUCOXtKtHqhv2klQOAncy8cpE+imAQ==","signedAt":"2026-06-20T16:14:10.777Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/flrngel-mcp-painter","artifact":"https://unfragile.ai/flrngel-mcp-painter","verify":"https://unfragile.ai/api/v1/verify?slug=flrngel-mcp-painter","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}