pipeworx-wikifeedProvides curated Wikipedia content including historical events on a date, daily featured articles, most read pages, and picture of the day.
Install via ClawdBot CLI:
clawdbot install brucegutman/pipeworx-wikifeedGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://gateway.pipeworx.io/wikifeed/mcpCalls external URL not in known-safe list
https://gateway.pipeworx.io/wikifeed/mcpAI Analysis
The skill's external API calls are consistent with its stated purpose of providing Wikipedia content, and there is no evidence of credential harvesting, hidden instructions, or obfuscation. However, it sends all user requests to a single, undocumented third-party endpoint, which creates a potential data privacy risk as the operator could log queries.
Audited Apr 17, 2026 · audit v1.0
Generated Jul 10, 2026
A media company uses 'on_this_day' to automatically generate a daily 'This Day in History' segment for their email newsletter. Subscribers receive curated historical events, births, and deaths, increasing engagement and click-through rates.
An e-learning platform integrates 'featured_article' to display Wikipedia's daily featured article on their homepage. Students and lifelong learners get fresh, high-quality reading material every day, boosting site stickiness.
Marketing agencies use 'most_read' to monitor the most popular Wikipedia articles daily. This data helps them create timely, trending content for their clients' social media channels, improving relevance and reach.
A co-working space uses 'picture_of_day' to display Wikipedia's picture of the day on its lobby screens. The automated system provides a visually engaging, educational display that changes daily with minimal effort.
A podcast production company uses 'on_this_day' to find historical events for episode topics. By querying specific dates, they quickly generate ideas for deep-dive episodes, saving research time and ensuring accurate content.
Offer tiered API access to the Wikifeed MCP service, charging based on number of calls or features used. For example, a free tier with limited daily calls, a pro tier for higher volume, and an enterprise tier with dedicated support.
License curated Wikipedia content (historical events, featured articles, images) to media outlets, publishers, and app developers who integrate it into their products. Charge a flat fee or per-impression royalty.
Provide free access to basic features (e.g., limited queries, lower rate limits) supported by advertisements. Offer premium add-ons like higher rate limits, data export, or custom branding for a fee.
💬 Integration Tip
Get started by making a simple curl POST request to the MCP endpoint with the desired tool name and arguments, as shown in the examples. You can integrate the API into any application that supports HTTP requests.
Scored Jul 10, 2026
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