RSS Feed Reader MCP Server
Pricing
from $0.40 / 1,000 feed fetcheds
RSS Feed Reader MCP Server
Fetch, parse, and search RSS/Atom feeds. AI agents can subscribe to blogs, news sites, and podcasts.
Pricing
from $0.40 / 1,000 feed fetcheds
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Developer
Marek Pommier
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4 days ago
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Fetch, parse, and search RSS/Atom feeds. AI agents can subscribe to blogs, news sites, and podcasts.
MCP tools
| Tool | What it does |
|---|---|
get_feed | Fetch and parse an RSS/Atom feed. Returns feed metadata and up to 50 entries. |
get_multiple_feeds | Fetch multiple RSS/Atom feeds at once. Returns list of feed objects. |
search_feed | Search entries in a feed by keyword. Returns matching entries. |
Connect from your AI agent
Streamable HTTP endpoint:
https://quodlibetical-buffalo--rss-feed-reader-mcp.apify.actor/mcp
Claude Desktop / Cursor / any MCP client:
{"mcpServers": {"rss-feed-reader-mcp": {"type": "streamable-http","url": "https://quodlibetical-buffalo--rss-feed-reader-mcp.apify.actor/mcp","headers": {"Authorization": "Bearer YOUR_APIFY_TOKEN"}}}}
Standby endpoints require an Apify API token — pass any Apify token (apify_api_...) as a Bearer header or as a token query parameter.
Input (batch run)
| Field | Type | Default | Description |
|---|---|---|---|
feedUrl | string | https://feeds.bbci.co.uk/news/rss.xml | URL of the RSS/Atom feed to fetch. |
feedUrls | array | [] | Array of feed URLs to fetch (batch mode). |
mode | string | batch | Legacy switch. Normal runs always execute batch mode; the MCP server is started automatically only when the platform starts this Actor in Standby. |
Run it on Apify with default input {} to get a demo record in the dataset.
Pricing (pay-per-event)
- actor-start — Actor Start: $0.01 per event
- feed-fetched — Feed Fetched: $0.0004 per event
Pay only for events. Prices are set ~30% below the market benchmark for this category.
Notes
Default run fetches the BBC News RSS feed as a demo. Pass your own feed URLs in the input to parse any RSS/Atom feed.
Run it as an Actor
Start a run with empty input {} — the Actor executes its batch mode, pushes one demo record to the dataset and exits successfully.