{"categories":[{"label":"WWW/HTTP","url":"https://skillfed.io/packages/category/internet-www-http/3"}],"enrichment":{"capability":"Provides a Model Context Protocol server that fetches web pages and converts their HTML content to markdown, enabling LLMs to read and process web content through a standardized interface.","skillfed_tags":["mcp-server","llm-integration","web-scraping"],"use_cases":["Enable Claude or other MCP-compatible LLMs to research topics by fetching and reading web pages during conversations","Build automated workflows where an AI agent needs to gather information from multiple websites and synthesize it","Integrate web-fetching capabilities into VS Code or other editors that support MCP servers for real-time web lookups","Allow LLMs to verify claims or retrieve current information by fetching live web content","Create chatbots or assistants that can answer questions by retrieving and processing relevant web pages on demand"],"what_it_does":"mcp-server-fetch is a Model Context Protocol server that bridges LLMs and the web by providing a standardized interface to fetch and process web pages. It retrieves HTML from URLs and converts it to markdown, making web content digestible for language models. The server exposes a fetch tool with parameters for URL, maximum content length, character-index-based pagination (via start_index), and raw-content mode, allowing models to read large pages in chunks.\n\nThe package is designed to integrate with LLM platforms like Claude.app and VS Code extensions that support MCP. It respects robots.txt by default (configurable), supports custom user-agents and proxy configuration, and includes safeguards against accessing local/internal IP addresses\u2014though the documentation cautions that this remains a potential security risk. It depends on httpx and requests for HTTP operations, markdownify and readabilipy for content extraction, and pydantic for configuration validation.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, installs with low friction, and fills a clear need for LLM-to-web integration in the MCP ecosystem. The permissive MIT license removes legal friction. Install it if you are running an MCP-compatible LLM platform and need web-fetching capabilities; the security caution about internal IPs is a deployment concern, not a reason to avoid the package itself."},"id":"mcp-server-fetch","links":{"html":"https://skillfed.io/packages/mcp-server-fetch","md":"https://skillfed.io/packages/mcp-server-fetch.md","pypi":"https://pypi.org/project/mcp-server-fetch/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-10","license_spdx":null,"license_treatment":"permissive","name":"mcp-server-fetch","python_support":"supports_current","summary":"A Model Context Protocol server providing tools to fetch and convert web content for usage by LLMs"},"popularity":{"monthly_downloads":1086313,"position":4385,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"2026.7.10"}