INDIVIDUAL MCP TOOL
vectorize
Use this when the user wants to convert a raster image (logo, icon, illustration, scan, screenshot; PNG, JPEG, WebP, BMP, GIF, TIFF) into a vector: SVG, PDF, EPS, DXF or a re-rendered PNG.
LIVE ENDPOINT
https://shapesoda.com/mcp
Connect to this endpoint to inspect the live schema for vectorize and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.shapesoda]
url = "https://shapesoda.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"shapesoda": {
"type": "http",
"url": "https://shapesoda.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: shapesoda
Remote MCP URL: https://shapesoda.com/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"shapesoda": {
"url": "https://shapesoda.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"shapesoda": {
"type": "http",
"url": "https://shapesoda.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "shapesoda",
"transport": "streamable-http",
"url": "https://shapesoda.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
create_upload— Creates a one-time upload link for a local image file (valid 10 minutes).open_editor— Use this when the user wants to vectorize an image but you cannot pass the image to vectorize (no image, upload_id or image_base64 available): opens the Shapesoda window, where the user picks the file, sees the vector result and adjusts it.revectorize— Re-vectorizes a stored result (result_id and token from vectorize) with other settings, free for 24 hours after the first vectorization.get_usage— Shows how many credits were used this month and how many remain.