Summary
It condenses text you are already holding, into the language and the length you ask for.
The single tool takes text, language and maxLength, so summarising a document means passing the document: there is no fetch step and nothing is read off disk. That makes this a stage inside a pipeline rather than a research tool — whatever gathered the text still has to hand it over.
What it is
A single-tool server that summarises text handed to it, taking the target language and a maximum length as arguments.
What you get
- A summary produced from text you pass in, rather than from a URL or a file the server goes and fetches
- The output language chosen per call through a language argument
- A maxLength per call, so the result fits wherever it is being put
Requirements
The text itself — the call takes text, language and maxLength and nothing else, with no account or key. MIT.
Setup effort
One command — npx -y mcp-summarizer