obbjects
Let your AI find real object photos on a clean white background, ready for slides, websites, ads and mockups, with the license and credit line for each image.
- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
obbjects is a catalog of single, real objects (fruit, bread, cups, teapots, chairs, lamps, cameras, phones and more) photographed or sourced from open museum collections, cut out and placed on the same plain white background. Connect it and ask your AI for “a red apple for my slide” or “an antique chair for this landing page”. It searches the catalog and gets back a 1024px image URL, a PNG link, a thumbnail, and each image’s license and attribution, so the credit travels with the image. When nothing fits, obbjects says so plainly instead of guessing, and the AI can request the missing object. The most requested objects are added first. Free, no account or API key. Read-only except for object requests, which are logged without IP addresses (see the privacy policy).
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- No account required
- First tracked
- 2026-11-12
- Tool count
- 4
- Market
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Claude Connector discovery is coming soon
Community Connectors only appear in Claude’s registry.Once verified, organic discovery begins and we can calculate your score.Read more about Community Connector verification.
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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
4 tools agents can invoke
obbjects Claude Connector FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve obbjects'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.


