Feedkit MCP Server

FeedKit

한국어 문서 · llms.txt

RSS/Atom feed collection with 444 curated, verified feeds. CLI + Python API + MCP server.

Quick Start

pip install feedkit

feedkit search cloudflare           # search the built-in catalog
feedkit subscribe-catalog -c technology   # subscribe to all 68 tech feeds
feedkit collect                     # fetch all subscriptions (async parallel)
feedkit find "kubernetes"           # full-text search collected articles

Install

pip install feedkit             # core (CLI + Python API)
pip install "feedkit[mcp]"      # + MCP server
pip install "feedkit[all]"      # + MCP + OPML import/export

Requirements: Python 3.11+

How It Works

flowchart LR
    A["📋 Catalog\n444 curated feeds"] --> B["Subscribe\nselect feeds"]
    B --> C["🔄 Collect\nfetch new entries"]
    C --> D["📦 Store\nSQLite database"]
    D --> E["🔍 Query\nfilter & retrieve"]

CLI Reference

Catalog Commands

feedkit search [QUERY]

Search the built-in catalog of 444 curated feeds.

feedkit search aws                    # search by title or domain
feedkit search --category science     # filter by category
feedkit search --language ko          # filter by language
feedkit search -c finance -l en -n 50 # combine filters
feedkit search -j                     # JSON output (for piping)

feedkit categories

List all available catalog categories.

$ feedkit categories
  academia
  finance
  pets
  science
  society
  technology

feedkit stats

Show catalog and local subscription statistics.

$ feedkit stats
Catalog: 444 feeds
  academia: 13
  finance: 89
  pets: 27
  science: 128
  society: 119
  technology: 68

Local: 68 subscriptions, 1,247 articles

Subscription Commands

feedkit subscribe <URL>

Subscribe to a single feed.

feedkit subscribe https://blog.cloudflare.com/rss/
feedkit subscribe https://example.com/rss -c tech -t "My Feed"

feedkit subscribe-catalog -c <CATEGORY>

Subscribe to all feeds in a catalog category at once.

feedkit subscribe-catalog -c technology   # subscribe to all 68 tech feeds
feedkit subscribe-catalog -c science      # subscribe to all 128 science feeds

feedkit unsubscribe <URL>

Remove a feed subscription and its collected articles.

feedkit list

List all current subscriptions with fetch counts and error counts.

Collection Commands

feedkit collect

Fetch new articles from all subscribed feeds (async parallel).

feedkit collect                    # collect all
feedkit collect -c technology      # collect only tech feeds
feedkit collect -n 50              # max 50 concurrent requests

Output:

Collecting from 68 feeds...
 67/68 feeds OK, 412 new articles, 8234ms

feedkit latest

Show most recently collected articles.

feedkit latest                # latest 20 articles
feedkit latest -n 50          # latest 50
feedkit latest -c finance     # latest from finance only

feedkit find <QUERY>

Full-text search (SQLite FTS5) across all collected articles.

feedkit find "kubernetes deployment"
feedkit find "large language model" -n 50

OPML Commands

feedkit import-opml <PATH>

Import feeds from an OPML file (Feedly, Inoreader, NetNewsWire, etc.).

feedkit import-opml subscriptions.opml

feedkit export-opml <PATH>

Export current subscriptions to OPML.

feedkit export-opml backup.opml

Python API

from feedkit import search_catalog, fetch_feed, get_catalog_stats, FeedStore
from feedkit.core import collect

# Search the built-in catalog
feeds = search_catalog("cloudflare")
feeds = search_catalog(category="technology", language="en", limit=50)

# Fetch a single feed (async)
entries = await fetch_feed("https://blog.cloudflare.com/rss/")
for entry in entries:
    print(entry.title, entry.url, entry.published)

# Subscribe and collect
store = FeedStore()                              # SQLite at ~/.feedkit/feedkit.db
store.subscribe("https://blog.cloudflare.com/rss/", category="tech")
result = await collect(store, concurrency=20)    # async parallel fetch
print(f"{result.new_articles} new, {result.feeds_ok}/{result.feeds_total} OK")

# Search collected articles (FTS5)
articles = store.search("kubernetes", count=10)

# Latest articles
articles = store.get_latest(count=20, category="tech")

# Feed health
health = store.get_health()                      # fetch/error counts per feed

# Catalog stats
stats = get_catalog_stats()                      # {total_feeds, categories, languages}

store.close()

Key Classes

MCP Server

pip install "feedkit[mcp]"
feedkit-mcp                    # starts stdio MCP server

Configuration

Claude Code (~/.claude/settings.json):

{
  "mcpServers": {
    "feedkit": {
      "command": "feedkit-mcp"
    }
  }
}

Tools Reference

MCP Workflow Example

User: "What are the latest AI papers on arXiv?"

1. search_feed_catalog(query="arxiv", category="science")
   → finds arXiv cs.AI, cs.LG, cs.CL feeds

2. subscribe_feed(url="https://rss.arxiv.org/rss/cs.AI")

3. collect_feeds(category="science")
   → fetches new entries

4. get_latest_articles(category="science", count=10)
   → returns latest papers

Built-in Catalog

444 verified feeds across 6 categories. All audited — hard paywalls (Bloomberg, FT, WSJ) and broken URLs removed.

Languages: English (381), Korean (47), Japanese (14), Chinese (2)

Full feed list: CATALOG.md

Why FeedKit?

Disclaimer

This package distributes a catalog of publicly available RSS feed URLs, not the feed content itself. RSS is a syndication standard — publishing an RSS feed is an explicit invitation for readers to subscribe. FeedKit fetches feeds on the user's behalf and does not store or redistribute copyrighted content.

Feeds behind hard paywalls (Bloomberg, FT, WSJ, Barron's) and feeds with aggressive terms of service have been removed from the catalog.

Used in

• newswatch — RSS news monitoring pipeline (feedkit → markgrab → embgrep → diffgrab)

License

MIT

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Part of the QuartzUnit ecosystem — composable Python libraries for data collection, extraction, search, and AI agent safety.