Agent Disco

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.

View in the Claude registry
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

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
No account required
First tracked
2026-11-12
Tool count
4
Market
US
AgentDiscoClaude Discoverability Score

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce obbjects has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

4 tools agents can invoke

Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
FAQs

obbjects Claude Connector FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How 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.