mcpField
V
vectorise

vectorise

Local
vectorise.meMedia & Design

About vectorise

Vectorize images to SVG and export to PDF, EPS, DXF, PNG, JPG, or WEBP via Vectorise.Me.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"jonathanweerakkody-vectorise": {
"command": "npx",
"args": [
"-y",
"vectorizer-mcp"
],
"env": {
"VECTORISE_API_KEY": "<VECTORISE_API_KEY>"
}
}
}
}
Run commandnpx -y vectorizer-mcp
Environment variables to set
VECTORISE_API_KEYSecretAPI key from vectorise.me/app. Optional — anonymous works with basic limits.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmvectorizer-mcp0.2.0
npmvectorise-mcp0.2.0

Tools

5

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
presetenumNoFriendly preset matching the app UI: auto (engine detects image type), logo (sharp edges, exact brand colours), illustration (drawings/cartoons/clipart), photo (smooth tonal gradients), pixel_art (pixel-faithful, exact colours), technical_drawing (line art, black & white). Explicit options you pass override preset values.auto | logo | illustration | photo | pixel_art | technical_drawing
color_modeenumNoColour handling. Default colorcolor | grayscale | bw | outline
image_pathstringYesAbsolute path to the input image file
output_pathstringNoWhere to save the SVG. Defaults to the input path with a .svg extension
quality_tierenumNoSpeed/quality trade-off. Default balanced_crisp (credits: fast=1, balanced_crisp=2, high_precision=5)fast | balanced_crisp | high_precision
palette_countintegerNoTarget number of colours (sets manual palette mode)
quality_profileenumNoAdvanced: engine profile. Prefer `preset` unless you know the engine. Default autoauto | balanced_crisp | balanced_edge_clean | sharp_text_logo | sharp_guarded | photo_smooth | clipart | exact
preserve_exact_colorsbooleanNoKeep source colours without merging similar shades

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.