Query trending topics and scored signals from Hacker News, Reddit, ArXiv, and GitHub in real time. Built for developers who need to monitor emerging technologies, research trends, and community discussions across multiple platforms.
io.github.joepangallo/mcp-server-research-signals
Local install
STDIO
No auth required
How models use it and what it is built for.
Query trending topics and scored signals from Hacker News, Reddit, ArXiv, and GitHub in real time. Built for developers who need to monitor emerging technologies, research trends, and community discussions across multiple platforms.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Joepangallo MCP Server Research Signals.
Paste any of these into Agent Studio after connecting Joepangallo MCP Server Research Signals.
Common questions about connecting and running Joepangallo MCP Server Research Signals.
What data sources does this MCP server pull from?
The server aggregates scored trend intelligence from four platforms: Hacker News, Reddit, ArXiv, and GitHub. Each source is ranked and scored to surface the most relevant emerging signals.
How do I install and run this server?
Install via npm with `npx mcp-server-research-signals@1.2.0`. The server uses stdio transport, so it communicates directly with your MCP client over standard input/output.
Does this require API keys or authentication?
The registry metadata does not specify required environment variables or API keys. Check the server's documentation or run it to see if any credentials are needed for the data sources.
Can I filter trends by topic or time range?
The server provides scored trend intelligence, but specific filtering capabilities (by topic, date range, or platform) depend on the query interface. Refer to the server documentation for supported query parameters.
How fresh is the trend data?
The server pulls real-time signals from live platforms, but the exact refresh rate and data freshness guarantees are not specified in the available metadata. Test with live queries to understand latency.
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