From b976706669eb3eb61bd287b3ce398c2a3b2f5263 Mon Sep 17 00:00:00 2001 From: LUIS NOVO Date: Thu, 19 Jun 2025 13:44:40 -0300 Subject: [PATCH] Add Content Core MCP server for content extraction Content Core is a Python MCP server that provides intelligent content extraction from multiple sources including URLs, documents, videos, and audio files. Features auto-engine selection, supports web pages, PDFs, Word docs, YouTube transcripts, and returns structured JSON responses. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 12698406..3b16bb84 100644 --- a/README.md +++ b/README.md @@ -680,6 +680,7 @@ Provides the ability to handle multimedia, such as audio and video editing, play - [blazickjp/arxiv-mcp-server](https://github.com/blazickjp/arxiv-mcp-server) ☁️ 🐍 - Search ArXiv research papers - [luminati-io/brightdata-mcp](https://github.com/luminati-io/brightdata-mcp) πŸ“‡ ☁️ -Β Discover, extract, and interact with the web - one interface powering automated access across the public internet. - [chanmeng/google-news-mcp-server](https://github.com/ChanMeng666/server-google-news) πŸ“‡ ☁️ - Google News integration with automatic topic categorization, multi-language support, and comprehensive search capabilities including headlines, stories, and related topics through [SerpAPI](https://serpapi.com/). +- [lfnovo/content-core](https://github.com/lfnovo/content-core) 🐍 🏠 - Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses. - [ConechoAI/openai-websearch-mcp](https://github.com/ConechoAI/openai-websearch-mcp/) 🐍 🏠 ☁️ - This is a Python-based MCP server that provides OpenAI `web_search` build-in tool. - [dealx/mcp-server](https://github.com/DealExpress/mcp-server) ☁️ - MCP Server for DealX platform - [devflowinc/trieve](https://github.com/devflowinc/trieve/tree/main/clients/mcp-server) πŸŽ–οΈ πŸ“‡ ☁️ 🏠 - Crawl, embed, chunk, search, and retrieve information from datasets through [Trieve](https://trieve.ai)