necl-hn-mcp
Provides AI agents with access to Hacker News data including top stories, story details, comment threads, and full-text search for content research and trend monitoring.
README
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 in our own content pipelines (powers baraban_agent, our internal HN→drafts engine 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 baraban_agent, 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? Book a call.
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.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.