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ashlrai/webfetch

The license-first image layer for AI agents and humans. 24 federated providers · CC0/CC-BY/PD-first · MCP native · Chrome extension · Python + TS SDKs.

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About ashlrai/webfetch

Webfetch is a license-first image layer for AI agents and humans. It aggregates 24 federated image providers with a preference for CC0, CC-BY, and public domain licenses, and offers MCP native integration, a Chrome extension, and Python plus TypeScript SDKs.

Best for

Developers building AI agents or tools that need legally safe image sourcing

Use cases

  • Fetching license-compliant images for AI training datasets
  • Integrating image search into agent workflows via MCP
  • Building browser extensions or apps that require attribution-ready media

Notes

2 stars on GitHub. Last updated 2026-05-10. Licensed MIT.

Pros

  • License-first approach reduces legal risk for image use
  • Federated providers offer broad coverage without vendor lock-in
  • MCP native support simplifies agent integration

Cons

  • Small community with only 2 stars on GitHub
  • Limited to image content, not general web fetching
  • Dependence on federated providers may affect reliability

Key facts

What we have checked

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How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

npx -y getwebfetch-mcp

Tools exposed

  • musicbrainz-caa
  • youtube-thumb
  • managed-browser
  • internet-archive
  • met-museum
  • library-of-congress
  • wellcome-collection
  • europeana-archival

Clients the listing names (not checked here)

Claude Code, Cursor, Cline, Continue

Install

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Not verified yet

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Works with

What ashlrai/webfetch connects to

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Sources

Where this comes from

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Changelog

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Pairs with

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