wikipedia-recent-changes-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@wikipedia-recent-changes-mcpshow me trending Wikipedia articles today"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
wikipedia-recent-changes-mcp
Live English Wikipedia edit-feed + page summaries + trending pages + Wikidata entity lookup, all in one MCP. Per the 2026 ecosystem research, no one else packages Wikipedia's recent-changes firehose as an agent-callable MCP.
Endpoint: https://wikipedia-recent-changes-mcp.prakhar-cognizance.workers.dev/mcp
Why this is interesting
Every breaking news event hits Wikipedia within minutes (sometimes seconds) — the recent-changes feed is the cheapest possible "what's the world doing right now" signal, with the bonus that the edit comments + sized deltas often summarize the news themselves. Combine wiki_recent_changes(topic="…") with wiki_page_summary(title) and your agent has a real-time topic monitor for zero upstream cost.
Related MCP server: Wikipedia MCP Server
Tools
wiki_recent_changes(limit?, topic?, exclude_bots?, namespace?)— live edit feed (last N changes; optional substring filter)wiki_page_summary(title)— clean extract, thumbnail, last-modifiedwiki_trending(date?)— top 50 most-viewed pages on a date (default yesterday)wikidata_search(query)— entity disambiguation by name → Q-id
Pricing
Tier | Price | Calls/mo |
Free | $0 | 200 |
Solo | $9/mo | 3,000 |
Team | $29/mo | 15,000 |
Pro | $79/mo | 75,000 |
Sister MCPs
All from the same operator, all live on <product>.prakhar-cognizance.workers.dev, all free-tier friendly:
Group | Products |
Research | sec-edgar · arxiv · world-bank-economic · uspto-patents · fda-approvals |
Verification + Utility | |
India | |
Real-time | hn-trending · wikipedia-recent-changes · gdelt-events · crypto-prices |
Healthcare | |
Logistics |
Full catalog: https://github.com/guptaprakhariitr · ⭐ = empty-quadrant / highest-conviction pick.
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