Decompose

What it is

A text classifier for agents. It splits a document into units and labels each one, so downstream code can filter, route or prioritise before any text reaches a language model.

What you get

• decompose_text classifies any text you pass it; decompose_url fetches a public page and classifies its content
• Each unit carries authority — mandatory, prohibitive, directive, permissive, conditional or informational — so a hard requirement is distinguishable from background
• risk labels it safety_critical, security, compliance, financial, contractual, advisory or informational
• type says whether it is a requirement, definition, reference, constraint, narrative or data; actionable says whether someone has to do something
• irreducible marks text that must be preserved verbatim; attention scores 0.0 to 10.0 how much compute the unit deserves
• entities extracts the formal references cited — standards, codes and regulations
• The Python library adds filter_for_llm(result, max_tokens=...), which keeps mandatory, safety-critical, financial and compliance units and reports the reduction as a percentage

Requirements

pip install decompose-mcp for version 0.2.0, then add it to your client as uvx decompose-mcp --serve over stdio. No API key and no model call — the classification is deterministic. It also runs as a CLI reading stdin, and as a Python library.

Setup effort

One command — pip install decompose-mcp

Tools you get

2 tools named in the project's documentation.

Requires

uvx on PATH

Where it runs

All 4 documented clients run the server on your machine.