ashlr
MCP tools

ashlr__webfetch

Token-efficient article extraction. Give it a URL, get the readable text aggressively compressed.

Server: ashlr-webfetch — servers/webfetch-server.ts

Narrowly focused on human-readable web content. Give it a URL, get the readable text the model would see from native WebFetch, but compressed. HTML is converted to title + main content; JSON is pretty-printed with arrays elided; plain text is byte-capped passthrough. Default cap: 100 KB (native WebFetch is uncapped).

Input schema

FieldTypeRequiredDescription
urlstringyesURL to fetch
capnumbernoMax bytes to return (default: 100000)

Output format

[ashlr__webfetch] https://fumadocs.vercel.app/docs  ·  HTML → 8.2 KB  [A]

Fumadocs
Next.js documentation framework with full-text search, MDX, and sidebar navigation...

Difference from ashlr__http

ashlr__webfetch is opinionated: it always extracts readable text and does not support custom methods, headers, or request bodies. Use ashlr__http when you need API calls, POST requests, or header inspection.

Example

Use ashlr__webfetch to read https://docs.anthropic.com/en/docs/about-claude/models
  • ashlr__http — full HTTP client with method/header/body support
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