"mcp server fetch" matching MCP servers:

MCP server that integrates Google News and Google Trends, enabling AI models to fetch news, analyze search interest, calculate growth rates, and summarize articles.

Allows AI agents to fetch, search, and summarize YouTube video transcripts without an API key, including chapter summaries.

MCP server for RSS aggregation and LLM summarization, allowing users to fetch latest articles, search archives, and generate topic-specific digests via natural language.

Enables production-grade web research through MCP, combining local SearXNG search with hosted fallback providers, fetch and crawl tools, summarization, and budget guardrails.

This MCP server enables AI assistants to perform calculations, fetch live weather, manage in-memory notes, access system info and note resources, and use reusable code review and summarization prompts.

A Python MCP server for web research that enables fetching web pages, searching, batch-fetching, extracting links, and summarizing content via client-side sampling, with optional local file access.

A local content summarization service that allows AI agents to fetch web pages, WeChat articles, and Bilibili videos, transcribe if needed, and generate Markdown summaries via MCP.

Enables AI assistants to search YouTube, fetch transcripts, and get AI summaries of videos without API keys.

Enables AI agents to fetch, search, and summarize YouTube video transcripts via tools, resources, and prompts.

MCP server that provides web content fetching, summarization, comparison, and extraction capabilities, handling up to 20 URLs per request.

Enables AI to manage RSS subscriptions, fetch and summarize news, and organize results into tools like Notion.

An MCP server designed to fetch transcripts for YouTube videos. It enables AI tools to access video text content for tasks like summarization, analysis, and key takeaway extraction.

Allows you to search the web using DuckDuckGo and optionally fetch and summarize content from search results.

MCP server that enables AI agents to fetch and summarize WeChat public articles, supporting export to HTML, Markdown, Obsidian, Notion, and OneNote.

Provides MCP tools to fetch, filter, curate, and summarize high-quality content from X (Twitter), reducing noise and focusing on high-signal posts, threads, and accounts.

Provides web search, content extraction, and AI summarization capabilities using the GLM-4.7-Flash model. It enables users to perform web searches, fetch website data, and generate concise content summaries through integrated tools.

A Model Context Protocol server that enables Claude to fetch, process, and extract information from PDF documents, including LaTeX mathematical equations.

Enables an AI assistant to fetch and summarize public GitHub READMEs, inspect repository stats and open issues, and summarize pasted text through four MCP tools.

Connects AI agents such as Claude Desktop and Cursor to your personal video and podcast briefing archive over stdio. Enables agents to fetch daily synthesized briefings, read full video distillations, semantically search claims and arguments across creators, retrieve cleaned sponsor-free transcripts, and subscribe new channels to the briefing pipeline.

Fetches web page content, converts it to Markdown, and optionally processes it with a local LLM. Returns structured data in TOON format optimized for agent consumption.