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0 ★ · adjacentai/necl-hn-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
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collected from the punkpeye/awesome-mcp-servers list · type: MCP server
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first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
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score 703 · 7 sources · mcp
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repository adjacentai/necl-hn-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
> **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.