homotope
Vectorize images into clean SVG, PDF, EPS or DXF files, and check a DXF before laser or vinyl cutting.
- Brand
- Homotope
- Category
- Content & Design
- Primary Subcategory
- Pending
Integration details
Description
Homotope turns raster images (PNG, JPEG) into clean vector files. From Claude, send a logo, an illustration, a scan or a sketch: Homotope traces it on its server and returns an SVG, or a PDF, EPS or DXF (one layer per colour, colour separations on request). Before you send a DXF to a laser, a vinyl cutter or a plotter, the “Ready to cut?” check reports open contours, double cuts, overlaps and details finer than your tool. Every job through Claude is a server job: the image is sent to Homotope and the job counts against your Homotope Pro quota, then credits; there is no free trial this way. In the browser, at homotope.app, tracing is free and nothing is sent. Six tools: vectorize_image, get_job, get_svg, get_result, check_cut, list_vectorizations. Read-only tools never write; vectorize_image creates a job and never deletes anything.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Homotope
- Access
- Account required
- First tracked
- 2026-10-10
- Tool count
- 6
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
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What discovery looks like

Claude can surface verified Connectors when they match a user’s Prompt.
How Claude Connector discovery works
Your Connector will compete to appear for users’ Prompts once Claude verifies it
Competitive lineup
6 tools agents can invoke
homotope Claude Connector FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve homotope's Claude Connector discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.