Turns a URL into LinkedIn-style analysis and high-energy social drafts, saving generated Markdown files locally.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
One-click editor setup isnโt available for this listing yet โ we donโt have a confirmed install command, and weโd rather show nothing than point your editor at the wrong package or host. Follow the projectโs own setup instructions, linked above.
Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Viral Transformer.
BelleKou/mcp-viral-transformer MCP server turns a source URL into draft social content through a remake workflow. The README describes two outputs: a professional, analytical version intended for LinkedIn and a more energetic version intended for X, Xiaohongshu, and other social platforms. Generated content is written to Markdown files in the local drafts directory.
The project is aimed at transforming source material rather than publishing it. Its examples show a source article becoming a draft with a title, an extended business or industry angle, a shorter high-energy treatment, and a distinct perspective. The README does not describe direct posting, scheduling, account connections, or platform APIs.
The server is implemented in Python and uses FastMCP to expose its MCP functionality. It retrieves URL content asynchronously with Httpx, parses HTML with BeautifulSoup4, and uses Pydantic for typed, structured data. Anthropic model access is configured through the ANTHROPIC_API_KEY environment variable.
A typical interaction gives Claude a URL and asks it to remake the material. The resulting content is saved locally as a Markdown draft. The repository includes examples based on both English and Chinese source pages, but the README does not define a formal language-selection option or output schema beyond the demonstrated drafts.
The documented prerequisites are Python 3.10 or newer and uv, which the project recommends for dependency management. Installation is performed by cloning the repository and installing its dependencies with either editable uv installation or the provided requirements file.
Set ANTHROPIC_API_KEY before using the server. The Claude Desktop example starts the local server.py through uv run and the MCP command-line runner, with the configuration pointing to the checked-out file. The example path is a placeholder and must be replaced with the actual local path, so this listing does not provide a directly executable install command.
BelleKou/mcp-viral-transformer MCP server provides the following documented capabilities:
drafts directory.The README refers to the main workflow as the โRemakeโ command. It does not document separate tool names, parameters, publishing actions, or configurable prompt styles.
The server requires access to an Anthropic API key, so its operation depends on that external service. It stores output locally rather than publishing to social networks. The repositoryโs milestone table describes possible future or star-gated creative modes, including sarcastic, cyberpunk, abstract, dating-profile, and competitor-monitoring concepts; these should not be treated as documented baseline capabilities.
The README identifies the project as MIT-licensed. Claude Desktop compatibility is shown through a sample configuration, while compatibility with other MCP clients is not established by the provided material.
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