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PopNx MCPMCP servers for people who use AI · explained in plain words

Feedport

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/feedport

Install

Overview

Description from the maker (original English)

Fetch and parse RSS or Atom feeds from a URL.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "feedport": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/feedport",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add feedport -- npx -y @reneturcios/feedport mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "feedport": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/feedport",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "feedport": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/feedport",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32464 servers in this category
  • Published to the registry more recently than 78% of the other 32464 servers in this category
  • Basic checks equal to or better than 100% of the other 32464 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Feedport safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 10 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, yontu

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

yontu

by senrecep

Türkçe yazı denetimi: TDK kuralları, yapay zekâ izleri, metin türüne göre üslup.

Runs on your computerUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

feedport

feedport reads web feeds for you. Give it the address of an RSS 2.0 or Atom document and it hands back the feed's title, link and description plus a clean list of its items — titles, links, descriptions, dates and ids — without you having to look at raw XML. It can also check an address first and tell you whether what lives there really is a feed.

Install

npx @reneturcios/feedport validate-feed https://example.com/feed.xml

Or run the container image:

docker run -i ghcr.io/cloudcorprecords/feedport

The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.

CLI

All commands print JSON.

# Whole feed: channel metadata plus items

feedport fetch-feed https://example.com/feed.xml

Just the items, at most five of them

feedport fetch-feed-items https://example.com/feed.xml --limit 5

Is this address actually a feed?

feedport validate-feed https://example.com/feed.xml

{"valid": true, "format": "rss", "item_count": 12}

feedport --version

Exit codes: 0 on success, 1 when a feed cannot be fetched or parsed (the error names the problem), 2 for usage errors.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

npx -y @reneturcios/feedport mcp

MCP client configuration:

{

"mcpServers": { "feedport": { "command": "npx", "args": ["-y", "@reneturcios/feedport", "mcp"] } } }

Tools
ToolInputWhat it returns
fetch_feedurl (string, required), limit (integer, optional)The feed's title, link and description, plus items — each with title, link, and description, pubDate and guid when the document carries them.
fetch_feed_itemsurl (string, required), limit (integer, optional)Only the item list, in the same shape as fetch_feed's items.
validate_feedurl (string, required)valid, the detected format (rss, atom or unknown), the item_count, and an error string when the address is not a usable feed.

RSS 2.0 items come from elements and Atom entries from elements; for Atom, an entry's summary (or content) becomes its description, its published (or updated) date becomes pubDate, and its id becomes guid. CDATA sections and XML entities are decoded.

Development

npm install

npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network npm run dev # run the CLI from source via tsx

License

MIT — see LICENSE.

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