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AntonG87/codearia-sieve

by Various

Parses a web page into the exact format a decision model needs: dates as dates, numbers with units, chunks that fit the model's window. MCP server + TypeScript library, no model or

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MCP

AntonG87/codearia-sieve

Added 23 Sept 2026

#ai-agents#claude-code#content-extraction#context-engineering#html-to-markdown#llm-agents#mcp#mcp-server
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

Parses web pages into the exact format a decision model needs, converting dates into date objects, numbers into values with units, and splitting content into chunks that fit the model's context window. Available as an MCP server and a TypeScript library. No model or API key is required.

Best for

Best for
Developers preparing web content for decision models without relying on external AI services.

Use cases

  • Extract dates and unit-bearing numbers from web pages for model input
  • Chunk long web content to fit a decision model's context window
  • Normalize web page data into structured fields before analysis

How to use

Install

npx codearia-sieve          # MCP server for Claude Code, Cursor and any agent

Tools exposed

  • robots-disallowed
  • http-error
  • empty-without-js
  • thin-content
  • block-split
  • facts-capped

Clients listed in this record (not verified here)

Claude Code, Cursor

Notes

5 stars on GitHub. Last updated 2026-09-22. Licensed MIT.

Pros

  • No API key or model dependency required
  • Dual distribution as MCP server and TypeScript library
  • Handles date and unit normalization in one step

Cons

  • Only 5 GitHub stars, indicating limited adoption
  • Requires self-hosting the MCP server or integrating the TypeScript library
  • Focused only on parsing, not on model inference or downstream processing
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