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qualityAn MCP server that enables fetching web content using the Node.js undici library, supporting various HTTP methods, content formats, and request configurations.
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TypeScript
MIT License
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Why this server?
This MCP server enables fetching web content using the Node.js undici library, supporting various HTTP methods, content formats, and request configurations. It's a good option for general webpage fetching.
Why this server?
Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown.
Why this server?
This server acts as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT, which implies the ability to fetch webpages.
Why this server?
Provides unified access to multiple search engines, AI tools, and content processing services, implying a strong ability to fetch and process web content.
Why this server?
Enables retrieval and processing of web page content for LLMs by converting HTML to markdown, with support for content truncation and pagination.
Why this server?
Provides web search functionality via DuckDuckGo, featuring advanced content exploration, navigation across search results, and detailed webpage analysis.
Why this server?
Enables seamless execution of commands, web content fetching, and reusable task management with secure credentials handling.
Why this server?
A Model Context Protocol server enabling advanced search and content extraction using the Tavily API, with rich customization and integration options.
Why this server?
A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web.
Why this server?
Enables LLMs to perform sophisticated web searches through proxy servers using Tavily's API, supporting comprehensive web searches, direct question answering, and recent news article retrieval with AI-extracted content.