A
licenseA
qualityD
maintenanceEnables AI agents to vectorize raster images and import vector files (PDF/AI/EPS), then inspect, edit, render, and optimize SVGs locally.
6
MIT
Pic2Vector MCP
Officialby pic2vector
Related Servers
Alternatives to Pic2Vector MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to generate professional SVG artwork, icons, and vector logos from text prompts, and to vectorize raster images into clean, editable SVG files.MIT
- AlicenseAqualityBmaintenanceEnables AI-powered image to SVG vectorization, background removal, and SVG manipulation directly through MCP-compatible clients. Users can convert images, process batches, and edit vector properties like colors and complexity using the svg.new API.7631 npm1MIT
- AlicenseNot gradedqualityFmaintenanceEnables AI image processing tools such as vectorization, background removal, upscaling, and logo generation from any MCP-compatible client like Claude Code or Cursor.4 npmMIT
- AlicenseAqualityBmaintenanceEnables Claude on Windows to convert PNG, JPG, PSD, TIFF and other bitmaps into editable SVG, AI, EPS, PDF, DXF or EMF — including whole-folder batch runs with detail, colour and layering options — by automating a licensed desktop tracing application's wizard GUI. Each call returns the output path, size, detected settings and a preview image.3MIT
Rayzia MCPofficial
AlicenseNot gradedqualityDmaintenanceEnables AI agents to drive a live SVG/vector editor, allowing a full observe-and-act loop on a canvas with real tools, state reading, and PNG rendering.2MIT
TDQS
A3.9/5.0
Scored across 1 tool
Disambiguation5/5
There is only one tool, so there is no possibility of misselection between tools. Its purpose (convert a raster image to SVG) is stated unambiguously.
Naming Consistency5/5
The single tool follows a clear verb_noun convention (vectorize_image). With no other tools to conflict with, the naming pattern is fully consistent.
Tool Count3/5
A one-tool surface is defensible for a narrowly focused image converter, but it is thin: the description itself points users to an external website for gradient fitting, posterize mode, and layer editing. The server feels like a minimal wrapper rather than a self-contained toolset.
Completeness3/5
The core operation (raster to SVG with color/bw modes) is covered, but there are notable gaps: no control over output path, tracing parameters (precision, color count), batch conversion, or the advanced features mentioned in the description. Agents can accomplish the basic workflow but hit dead ends for anything beyond it.
Maintenance
ActivityMaintained
ResponsivenessNo issues