CleanVector
ai.cleanvector/cleanvectorCreate professional SVG artwork, icons and vector logos from a prompt, or vectorize any image.
Score: 100/100
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Tools · 11
Generate professional, editable SVG artwork from a text prompt: illustrations, icons, stickers and mascot scenes. The result is real vector paths with a transparent background, not an embedded bitmap.…
Generate a professional vector logo as editable SVG, delivered as a brand kit: the original mark, black and white variants, transparent PNG exports and a color palette measured from the finished artwo…
Convert a raster image (PNG/JPG/WebP, max 5 MB) into a clean, editable SVG. Provide image_url or image_base64. no_background defaults to true and isolates the subject (4 credits). Set no_background fa…
Fetch the current status of a task. Status is one of queued, processing, succeeded, failed. A succeeded task includes the result with download URLs.
Block until a task settles (succeeded/failed) or the timeout passes. Preferred over polling get_task in a loop. Generation typically takes 10-60 seconds.
List the user's most recent tasks, newest first.
List the user's ready-to-use mascots (consistent characters). Pass a mascot id to generate_illustration to place that character in a new scene. Mascots are created in the CleanVector dashboard.
Return the finished artwork as a PNG image (free on all plans). Use after a task succeeded. For larger exports up to 8192px, use the png_url from the task result with the same Bearer key.
Return the finished artwork as SVG markup. Use after a task succeeded.
Return a completed logo kit as an embedded ZIP resource. Includes three SVGs, three PNGs and palette.json. MCP output is capped at 2048px; use zip_url from the task result for larger files.
Current plan and credit balance. Costs: vectorize 1, generate/enhance 4, logo 8 credits. PNG and SVG downloads are free on every plan.
How to use
Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://cleanvector.ai/api/mcp
Cursor or Cline: add to your MCP config:
{
"mcpServers": {
"cleanvector": {
"url": "https://cleanvector.ai/api/mcp",
"transport": "streamable-http"
}
}
}