# hackernews-mcp

> hackernews-mcp — peterlodri-sec-hackernews-mcp. Use this tool when you need to integrate with HackerNews, enabling large language models (LLMs) to fetch and post content, search discussions, and retrieve user information. It solves problems related to accessing and interacting with the HackerNews platform, such as staying up-to-date on tech news and participating in online discussions. With inputs like search queries and user credentials, and outputs like story and comment data, it provides a seamless interface for LLMs to engage with the HackerNews community.

Canonical page: https://skillsregistry.net/skills/peterlodri-sec-hackernews-mcp  
JSON: https://api.skillsregistry.net/v1/skills/peterlodri-sec-hackernews-mcp

## Description

Connects LLM agents to HackerNews, enabling them to fetch stories and comments, search via Algolia, post authenticated comments, and retrieve user profiles.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h9a4l6rnr7)
- **Repository:** <https://github.com/peterlodri-sec/hackernews-mcp>

## 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": "peterlodri-sec-hackernews-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/peterlodri-sec-hackernews-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/peterlodri-sec-hackernews-mcp/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