Fetch
Enables LLMs to retrieve and process content from web pages by converting HTML to markdown.
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Fetch provides a Model Context Protocol (MCP) server implementation that allows Large Language Models (LLMs) to access and utilize web content. It fetches URLs, extracts content, and converts HTML to markdown for easier consumption by LLMs. The tool includes features like content truncation and the ability to specify a starting index for content extraction, enabling models to process webpages in chunks until they find the necessary information.
Características Principales
- Fetches content from URLs.
- Converts HTML content to Markdown.
- Allows specifying a starting index for content extraction.
- Supports content truncation to manage response size.
- Provides raw content retrieval without markdown conversion.
Casos de Uso
- Allowing LLMs to read specific sections of a webpage.
- Providing context to LLMs by fetching and summarizing relevant webpages.
- Enabling LLMs to access up-to-date information from the web.
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