# GeekNews

> Use this tool when you need to retrieve up-to-date tech news and discussions to inform conversations about current developments in technology and programming. It provides access to articles, comments, and trending topics from GeekNews through the MCP protocol, using BeautifulSoup for content parsing. Ideal for AI assistants requiring real-time tech news and updates to enhance user interactions.

Canonical page: https://skillsregistry.net/skills/the0807-geeknews  
JSON: https://api.skillsregistry.net/v1/skills/the0807-geeknews

## Description

GeekNews-MCP-Server is a Python implementation that provides AI assistants with access to content from GeekNews, a popular tech news aggregator. Built by Eom Taehyun, this server uses BeautifulSoup to parse and extract articles, comments, and other content from GeekNews, making it available through the MCP protocol. The implementation enables AI assistants to retrieve up-to-date tech news, discussions, and trending topics, allowing for more informed conversations about current developments in technology and programming.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/the0807-geeknews)
- **Repository:** <https://github.com/the0807/geeknews-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "the0807-geeknews"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/the0807-geeknews` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/the0807-geeknews/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt