necl-hn-mcp
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):
{
"mcpServers": {
"necl-hn": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/adjacentai/necl-hn-mcp.git",
"necl-hn-mcp"
]
}
}
}
Don't have uvx? Install it: pip install uv or brew install uv.
Via pip + python -m
pip install git+https://github.com/adjacentai/necl-hn-mcp.git
Then in mcp.json:
{
"mcpServers": {
"necl-hn": {
"command": "python",
"args": ["-m", "necl_hn_mcp"]
}
}
}
From source (for development)
git clone https://github.com/adjacentai/necl-hn-mcp.git
cd necl-hn-mcp
pip install -e ".[dev]"
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
newandbestcategories 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
showcategory 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.
Tool calls timeout.
HN's Firebase API can be slow when fetching many items (e.g. hn_top_stories(limit=30, hours=168) scans 200 stories). Default timeout is 10s per request. For long-window queries, use lower limit.
Algolia returns no hits.
Algolia indexes HN content with a delay (~5-15 min for fresh items). Try sort="date" for recent activity.
Comments thread is empty for a story I see on HN.
hn_get_comments returns only top-level comments. Replies aren't recursively fetched (to keep token cost predictable for LLMs). Use the replies_count field on each comment to know if there's deeper discussion.
Tools don't show up in Claude.
After editing mcp.json, fully restart Claude Desktop / Claude Code (not just reload). Check the MCP logs in Settings → Developer.
Pair with
- necl-content-poster Skill — turn HN stories into ready-to-publish posts for TG/LinkedIn/Threads.
Full pipeline:
necl-hn-mcp (find story) → necl-content-poster (write 3 posts) → you publish
Built by NeCL
neclco.com — production AI engineering. RAG systems, voice agents, Telegram bots, custom MCPs and content engines for companies that need more than wrappers.
Need a custom MCP wired to your internal APIs / databases / SaaS? Visit neclco.com.
Development
git clone https://github.com/adjacentai/necl-hn-mcp.git
cd necl-hn-mcp
pip install -e ".[dev]"
# Run locally with MCP inspector
mcp dev src/necl_hn_mcp/server.py
License
MIT — see LICENSE.
サーバー設定
{
"mcpServers": {
"necl-hn": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/adjacentai/necl-hn-mcp.git",
"necl-hn-mcp"
]
}
}
}