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  3. FeedNest
FeedNest logo
Health: ActiveRecent health check succeeded.Last checked 10/4/2026, 8:16:33 AM

FeedNest

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
rssnewscontentreadingmcp

Connects AI assistants to selected RSS, YouTube, podcast, and Google News sources, articles, annotations, and reading status.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below β€” values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "feednest": {
      "url": "https://mcp.feednest.com",
      "env": {
        "FEEDNEST_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (25) Directory Badge Claim listing AlternativesπŸ”— More in Aggregators

Overview

The FeedNest MCP server gives AI assistants access to a user's curated RSS, YouTube, podcast, and Google News sources through a Streamable HTTP endpoint. It supports searching and reading articles, retrieving truncated content, managing read and saved states, and organizing feeds with folders and tags. Assistants can also read and write highlights and notes, inspect recently read items, view public output feeds, and retrieve reading statistics. Reach for it when an agent needs answers grounded in a defined reading collection rather than broad web search.

Use cases

β€’Generate briefings from selected feeds
β€’Compare coverage across subscribed sources
β€’Search saved and unread articles
β€’Annotate articles with highlights and notes
β€’Track reading activity and statistics

Key features

β€’Article search and retrieval
β€’Full-content extraction for truncated RSS items
β€’Read and saved-state management
β€’Feed, folder, and tag organization
β€’Highlights and notes
β€’Reading statistics and public output feeds

Capabilities & Tool Schemas (25) ~378 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by FeedNest.

get_articles

List articles with title, source, date, and summary preview. Views: newsfeed, by-feed, by-folder, by-tag, tagged, highlighted, noted.

get_article

Get full article content including highlights, notes, and reading time.

extract_article

Fetch full content from the original URL when RSS truncated it.

mark_as_read

Mark an article as read.

mark_as_unread

Mark an article as unread.

mark_all_as_read

Mark all articles as read, optionally filtered by feed or folder.

How FeedNest works

What the FeedNest MCP server does

The FeedNest MCP server connects an AI assistant to sources selected by the user, including RSS feeds, YouTube channels, podcasts, and Google News sources. It exposes feed content and personal reading data through MCP, allowing an assistant to search articles, read full content, and work with annotations without leaving the configured client.

The service is suited to workflows such as briefing generation, comparing coverage across subscribed sources, finding articles on a topic, and following developing stories. It can also manage the user's reading workflow by changing read status, saving articles or URLs, and organizing content with tags.

How it works

FeedNest provides a remote MCP endpoint at https://mcp.feednest.com using Streamable HTTP. Clients authenticate either through an OAuth connection supported by the client or with a FeedNest developer API key sent as a bearer token. A client sends natural-language requests to the connected model, which selects the relevant MCP tool and returns feed or article data.

Article queries can use views such as the newsfeed, a specific feed or folder, tagged items, highlighted items, or noted items. Search, sorting, date ranges, unread-only filtering, and result limits are available where supported. When an RSS item is incomplete, the extraction tool can retrieve fuller content from its original URL.

Setup and configuration

A FeedNest account is required. OAuth connections are available for supported apps, including ChatGPT and Claude, without an API key. API-key configurations use a key created in FeedNest under Settings β†’ Developer API; the README states that this option requires a Pro subscription.

For remote MCP clients, configure https://mcp.feednest.com and send Authorization: Bearer <key>. Codex, Cursor, Windsurf, Cline, Gemini CLI, and Claude Code each use client-specific configuration fields. Claude Desktop can use the connector, or connect through the mcp-remote bridge because its direct configuration runs stdio servers. Stdio-only clients can likewise use that bridge.

Tools and capabilities

The FeedNest MCP server supports these operations:

  • List articles by feed, folder, tag, highlight, note, or general newsfeed view.
  • Retrieve full article content, highlights, notes, and reading time.
  • Extract article content from an original URL when an RSS item is truncated.
  • Mark individual or filtered groups of articles as read or unread.
  • Save or unsave articles and save external URLs for later.
  • List feeds, folders, tags, saved items, recently read articles, and public output feeds.
  • Create and delete tags, then add or remove tags on articles.
  • Add, update, retrieve, and delete article notes and highlights.
  • Return reading streaks, reading time, unread totals, and related statistics.

Limitations and notes

OAuth and API-key access have different plan requirements. On the Free plan, OAuth-connected apps can read feeds and articles with a stated limit of 20 requests per hour. The README says Plus and Pro plans add saving, tagging, highlighting, notes, and read-status changes for those connections; API-key access requires Pro.

The FeedNest MCP server is focused on the sources and content available in the user's FeedNest account. Gemini CLI supports the remote connection, while the README notes that Gemini's web interface does not support external MCP servers. Grok access is described for the xAI API or SDK, not the grok.com chat interface.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
6d ago
Most recent push to the default branch.
Tools exposed
25
Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about FeedNest

FeedNest is an MCP server that connects AI assistants to a user's RSS, YouTube, podcast, and Google News sources. Its main tools list and retrieve articles, extract full content, manage read and saved states, organize tags, and work with highlights, notes, feeds, and reading statistics.

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Technical Specs & Signals

CategoryπŸ”—Aggregators
More technical detailsExpand β–Ύ
TransportSSE (Remote)
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, OpenAI Codex CLI, Gemini CLI
Last updatedOct 6, 2026
7/7 checks healthy over the last 43d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit6d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 2, 2026
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 8/27/2026 via OSV.dev Β· https://mcp.feednest.com (npm)

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AllMCPs Server

The official MCP server for AllMCPs.com - submit and manage tools directly from your AI. The open directory for MCP servers. Connect Claude, Cursor, Windsurf, and AI agents to databases, tools, files, and APIs. Explore 10,000+ servers. AllMCPs is the premier, open directory for discovering, evaluating, and installing Model Context Protocol (MCP) servers to equip AI agents and LLMs with real-world superpowers.

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