TrendKia MCP Server
Click on "Deploy 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., "@TrendKia MCP Serversearch for articles about AI trends"
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.
TrendKia MCP Server
An MCP server that exposes TrendKia content to AI assistants (Claude Desktop, claude.ai custom connectors, Claude Code, Cursor, etc.).
The site publishes a clean .md version of every article, so this server serves
clean text — no HTML scraping.
Tools
list_recent_articles— newest posts from the RSS feedsearch_articles— keyword search over the feed (Hindi + English)get_article— full clean markdown of one articlelist_sitemap_urls— every URL from the sitemap
Related MCP server: urltomarkdown-mcp
Run locally (Claude Desktop, stdio)
pip install -r requirements.txt
python trendkia_mcp.pyAdd to claude_desktop_config.json:
{ "mcpServers": { "trendkia": { "command": "python", "args": ["/full/path/to/trendkia_mcp.py"] } } }Run as a remote web connector (claude.ai, Pro+)
MCP_TRANSPORT=http PORT=8000 python trendkia_mcp.pyEndpoint: http://<host>:8000/mcp. Deploy with the included Dockerfile /
render.yaml, then in claude.ai go to Connectors → Add custom connector and paste
https://<your-host>/mcp.
Config
MCP_TRANSPORT—stdio(default) orhttpPORT— HTTP port (default 8000)TRENDKIA_BASE_URL— override site (default https://trendkia.com)
This server cannot be deployed
Maintenance
Related MCP Connectors
Clean Markdown and AI-readability scoring for any URL. Built for AI agents.
Web scraping for AI agents. Converts URLs to clean, LLM-ready Markdown with anti-bot bypass.
Fetch pages as markdown, search web and news, extract structured data. For AI agents.
Search indexed websites, read raw page markdown, and score AI visibility for any site.
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