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botmonster/image2svg-mcp

by Various

MCP server that converts raster images (PNG/JPG/WEBP) to SVG vector format

MCP

botmonster/image2svg-mcp

Added 15 June 2026

Overview

A Model Context Protocol (MCP) server that converts raster image files (PNG, JPG, WEBP) into SVG vector format. It accepts images as input and returns a vector representation suitable for scaling and editing.

Best for

Best for
Developers needing a lightweight MCP-based bridge to convert raster images to SVG within AI agent workflows

Use cases

  • Convert product screenshots to scalable SVG for documentation
  • Prepare raster logos for resizing without quality loss
  • Batch process images for vector-based design pipelines

How to use

Install

claude mcp add image2svg --scope user -- uvx image2svg-mcp

Tools exposed

  • image_base64
  • image_url
  • filter_speckle
  • color_precision
  • layer_difference
  • corner_threshold
  • length_threshold
  • splice_threshold
  • path_precision
  • max_iterations

Tested with

Claude Desktop, Claude Code

Example client config

{\n  "mcpServers": {\n    "image2svg": {\n      "command": "uvx",\n      "args": ["image2svg-mcp"]\n    }\n  }\n}

Notes

A Model Context Protocol (MCP) server that converts raster image files (PNG, JPG, WEBP) into SVG vector format. It accepts images as input and returns a vector representation suitable for scaling and editing.

0 stars on GitHub. Last updated 2026-06-14. Licensed Apache-2.0.

Use cases

  • Convert product screenshots to scalable SVG for documentation
  • Prepare raster logos for resizing without quality loss
  • Batch process images for vector-based design pipelines

Pros

  • Simple, focused tool for a specific conversion task
  • Integrates with MCP-compatible AI assistants and workflows
  • Open source, easy to inspect or modify

Cons

  • Output SVG quality depends on input complexity (may not match manual tracing)
  • No support for animated or multi-frame formats
  • Zero GitHub stars and no community validation yet

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Simple, focused tool for a specific conversion task
  • Integrates with MCP-compatible AI assistants and workflows
  • Open source, easy to inspect or modify

Cons

  • Output SVG quality depends on input complexity (may not match manual tracing)
  • No support for animated or multi-frame formats
  • Zero GitHub stars and no community validation yet

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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