ViralTransformer is a high-performance server based on the MCP (Model Context Protocol) protocol, positioned as an automated web scraping and AI-driven viral content transformation engine. Its goal is to transform raw URLs into social media posts with viral potential, letting Claude act as a 24/7 online self-media growth assistant.
Main capabilities:
- Automatic web content scraping: uses Httpx for asynchronous content retrieval and BeautifulSoup4 to parse HTML.
- AI-driven content transformation: not just scraping, but also thinking, analyzing, and drafting copy, generating posts suitable for social spread.
- Structured output: leverages Pydantic to ensure strict type safety and structured data output.
- Multi-version copy: the example output shows that the same material can generate two styles, a "professional insight version" and a "high-energy viral version," aimed respectively at in-depth readers and emotional spread scenarios.
- Native Chinese and English support: the examples include both English-native content (such as the Anthropic 30B compute deal) and Chinese-native content (such as Geely Aerofugia IPO).
Tech stack:
- FastMCP: a high-performance Python MCP framework.
- Httpx: an async-first fast content retrieval engine.
- BeautifulSoup4: robust HTML parsing.
- Pydantic: ensures strict type safety and structured data output.
Usage:
- Prerequisites: using uv for dependency management is recommended.
- Installation: install dependencies according to the repository instructions.
- Configuration: an Anthropic API Key is required; set ANTHROPIC_API_KEY in the environment.
- Integration into Claude Desktop: add the corresponding configuration in claude_desktop_config.json, and replace the path with the actual local path.
Applicable scenarios:
- Quickly transform raw URLs such as news links and industry reports into social media post drafts.
- Content operations scenarios that need to produce both a professional in-depth version and an emotional viral version of copy at the same time.
- Bilingual Chinese and English content creation.
Limitations:
- An Anthropic API Key is required to use it.
- Details such as specific installation commands, configuration example code, and directory structure are not fully shown in the provided materials and are not yet available.
- The project uses the MIT License, allowing modification and personal use.
