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  1. Home
  2. ๐ŸŒ Social Media
  3. MCP Viral Transformer
MCP Viral Transformer logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 8:04:54 PM

MCP Viral Transformer

User RatingsBe the first to rate and review this MCP server!
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website
social-mediacontent-generationurl-processingpython

Turns a URL into LinkedIn-style analysis and high-energy social drafts, saving generated Markdown files locally.

Quick Install

Automated & IDE Setup

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 isnโ€™t available for this listing yet โ€” we donโ€™t have a confirmed install command, and weโ€™d rather show nothing than point your editor at the wrong package or host. Follow the projectโ€™s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON โ–พ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself โ€” its README, its docs, or a verified owner. We havenโ€™t found those for BelleKou/mcp-viral-transformer, and weโ€™d rather show nothing than a guess youโ€™d paste into your client. Follow the projectโ€™s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives๐ŸŒ More in Social Media

Overview

BelleKou/mcp-viral-transformer MCP server accepts a URL and supports a โ€œremakeโ€ workflow that produces two social post versions. It retrieves and parses web content, uses an Anthropic API key for generation, and saves results as Markdown files under ./drafts. One output targets professional insight for LinkedIn, while the other uses a higher-energy style for X, Xiaohongshu, and similar social channels. Reach for it when you want to turn source links into structured draft copy from Claude.

Use cases

โ€ขRemake an article URL into a LinkedIn-style business analysis
โ€ขGenerate a high-energy social draft from a news link
โ€ขSave URL-based post drafts as local Markdown files
โ€ขCreate English or Chinese draft content from source pages

Key features

โ€ขURL-based remake workflow
โ€ขDual professional and high-energy outputs
โ€ขLocal Markdown draft storage
โ€ขHTTP retrieval and HTML parsing
โ€ขAnthropic API integration

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Viral Transformer.

Extracted Tool Capabilities
URL-based remake workflow
Dual professional and high-energy outputs
Local Markdown draft storage
HTTP retrieval and HTML parsing
Anthropic API integration

How MCP Viral Transformer works

What BelleKou/mcp-viral-transformer MCP server does

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.

How it works

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.

Setup and configuration

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.

Tools and capabilities

BelleKou/mcp-viral-transformer MCP server provides the following documented capabilities:

  • Accept a URL for a remake request.
  • Produce a professional deep-insight draft.
  • Produce a high-energy social-media draft.
  • Save generated drafts in the local drafts directory.
  • Process source content using HTTP retrieval and HTML parsing.

The README refers to the main workflow as the โ€œRemakeโ€ command. It does not document separate tool names, parameters, publishing actions, or configurable prompt styles.

Limitations and notes

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 repositoryโ€™s 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.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
2
Stargazers on the source repository.
Last commit
5mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about MCP Viral Transformer

Clone the repository, enter its directory, and install dependencies with `uv pip install -e .` or `pip install -r requirements.txt`. The documented server configuration also requires Python 3.10+ and `uv`.

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Technical Specs & Signals

Category๐ŸŒSocial Media
PricingBring your own API key (usage-based cost)
More technical detailsExpand โ–พ
AuthAPI key
LicenseMIT
ClientsClaude Desktop
Last updatedSep 7, 2026
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit5mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Apr 15, 2026
31Quality signal: Emerging ยท 31/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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