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

Technews Port

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

Install

Overview

Description from the maker (original English)

Hacker News top, new, and best stories, items, users, and full-text search.

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: Search & AI memory

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

Run this in your terminal

claude mcp add technews-port -- npx -y @reneturcios/technews-port mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "technews-port": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/technews-port",
        "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": {
    "technews-port": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/technews-port",
        "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 7, 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 Search & AI memoryi

  • More stars than 0% of the other 7257 servers in this category
  • Published to the registry more recently than 83% of the other 7257 servers in this category
  • Basic checks equal to or better than 100% of the other 7257 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 Technews Port 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 7 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: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
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.

technews-port

technews-port is a small reader for Hacker News that speaks to the site's own public APIs, so there is no scraping and nothing to sign up for. It pulls the ranked front-page lists (top, new, and best), any single item by its numeric id, and any user's public profile from the official Firebase API, and it searches story text through the Algolia HN Search API — the one capability the Firebase API does not have.

Story lists come back with the items already fetched, in ranked order, not just bare ids: the headline, author, score, and comment count are right there for each entry.

Install

npx @reneturcios/technews-port top --limit 10

Or run the container image:

docker run -i ghcr.io/cloudcorprecords/technews-port

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

CLI

Every command prints JSON.

# The three ranked lists (default 30 stories, capped at 100)

technews-port top technews-port new --limit 10 technews-port best --limit 5

One item, one user

technews-port item 8863 technews-port user pg

Full-text story search via Algolia (default 20 hits)

technews-port search "show hn" --limit 10

technews-port --version

Exit codes: 0 on success, 1 when the lookup fails (an unknown item or user, or an upstream error, named in the message), 2 for usage errors.

MCP server

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

npx -y @reneturcios/technews-port mcp

MCP client configuration:

{

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

Tools
ToolInputWhat it returns
get_top_storieslimit (integer, optional)The current top stories: the ranked item ids plus each story parsed — title, author, score, comment count, URL, and timestamp.
get_new_storieslimit (integer, optional)The newest stories, same shape as get_top_stories.
get_best_storieslimit (integer, optional)The best stories, same shape as get_top_stories.
get_itemitem_id (integer, required)One item of any kind (story, comment, job, poll): its type, author, text or title, score, child comment ids, and deleted/dead flags.
get_userusername (string, required)The user's public profile: creation time, karma, about text, and submitted item ids.
search_storiesquery (string, required), limit (integer, optional)Stories matching the query, from Algolia: title, URL, author, points, comment count, and posting time per hit.

If an id in a ranked list disappears between reading the list and fetching the item — it happens on a live site — the id stays in item_ids and the item is simply absent from items.

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

The core takes an injectable fetch function, and the test suite routes a fake fetch by URL to hand-written payloads shaped like real Firebase and Algolia responses — the tests never touch the network.

License

MIT — see LICENSE.

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