ashlrai/webfetch

Overview

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

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

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.

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

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

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

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.