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adjacentai/necl-hn-mcp

adjacentai/necl-hn-mcp

Hacker News: top stories by time window, c
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add necl-hn-mcp -- npx -y necl-hn-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · adjacentai/necl-hn-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 adjacentai/necl-hn-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

necl-hn-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

> **Hacker News tools for AI agents.** Top stories, story details, comments thread, full-text search.
>
> **Zero credentials.** Public HN API. Install and use.
Built by NeCL — AI engineering studio. Production-tested: this is the exact HN layer that powers our internal content agent, running 3× daily for months.
Tools
| Tool | What it does |
|---|---|
| hn_top_stories(limit, hours) | Top N stories from the last N hours, ranked by score. Default: top 10 from last 24h. |
| hn_get_story(id) | Full story metadata: title, url, score, author, comments count, posted time. |
| hn_get_comments(id, limit) | Top-level comments thread for a story, sorted by HN ranking. |
| hn_search(query, sort) | Full-text search across HN posts and comments (via Algolia HN API). |
| hn_category(category, limit) | Stories from a specific category: top, new, best, ask, show, job. |
Why this MCP
- **Zero credentials, zero config** — public HN API, no rate limits worth worrying about, no signup.
- **Battle-tested code** — extracted from our internal HN-to-drafts content engine that's been running 3×/day for months.
- **Built for AI agents** — every tool returns clean structured data that LLMs can chain together (search → top story → comments → summary).
- **Use case** — content research, trend monitoring, automatic news digests, prompt-context enrichment.
Install
Via uvx (recommended — no setup)
uvx runs the package in an ephemeral env. No pip install, no venv. Add to your mcp.json (Claude Desktop, Claude Code, or any MCP client):
Don't have uvx? Install it: pip install uv or brew install uv.
Via pip + python -m
Then in mcp.json:
From source (for development)
Then use the same python -m necl_hn_mcp config as above.
Example use in Claude
Once installed, just ask Claude things like:
- "What are the top 5 stories on HN in the last 6 hours?"
- "Get the comments thread for HN story 38420000"
- "Search HN for posts about RAG performance, sorted by date"
- "Show me everything in the Ask HN category right now"
- "Find the top 3 Show HN posts about AI agents this week"
Claude will call the right tool, no further setup.
What you can build with this
- **Daily content brief** — pull top HN stories, summarize, generate cross-platform posts.
- **Competitive research bot** — search HN for mentions of your competitors, surface negative comments.
- **Trend detector** — monitor new and best categories on a cron, alert when a topic spikes.
- **Newsletter pipeline** — search by keyword window, cluster results, generate editorial digest.
- **Customer-discovery agent** — search Ask HN for problems your product solves, generate cold-outreach drafts.
- **Tech-radar updater** — periodically scan show category for new tools in your stack.
Troubleshooting
**"mcp command not found" / install errors.**
Make sure your Python is 3.10+. If using uvx, ensure uv is installed (pip install uv). For pip install: pip install necl-hn-mcp then verify python -m necl_hn_mcp --help doesn't error.
来源
awesome · https://github.com/adjacentai/necl-hn-mcp
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