HubLens MCP Server

HubLens MCP Server

HubLens automatically detects trending OSS on GitHub and Hacker News daily, then generates EN/ZH summaries, categories, and scoring via Vertex AI (Gemini). This MCP server wraps the HubLens Public REST API so any AI agent can ground its OSS recommendations in fresh, structured, multi-day data.

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@hublens/mcp-server

MCP (Model Context Protocol) server for HubLens — query trending open-source projects and AI-generated summaries from Claude, Cursor, and other MCP-compatible AI tools.

HubLens automatically detects trending OSS on GitHub and Hacker News daily, then generates EN/ZH summaries, categories, and scoring via Vertex AI (Gemini). This MCP server wraps the HubLens Public REST API so any AI agent can ground its OSS recommendations in fresh, structured, multi-day data.

Install

# Claude Code
claude mcp add hublens -- npx -y @hublens/mcp-server

For Claude Desktop or other clients, add to your MCP config:

{
  "mcpServers": {
    "hublens": {
      "command": "npx",
      "args": ["-y", "@hublens/mcp-server"]
    }
  }
}

No API key required. The server calls public, cached endpoints rate-limited to 60 req/hr per IP.

Tools

hublens_trending

Today's trending OSS projects ranked by the HubLens score.

Parameter Type Default Description
limit number (1–50) 10 Number of results
category string Filter by category (e.g. AI, DevTools)
source string Filter by source (github or hn)

hublens_search

Search the full HubLens archive of every tracked OSS.

Parameter Type Default Description
q string Text search on slug / title
limit number (1–100) 20 Results per page
offset number 0 Pagination offset
category string Category filter
source string Source filter

hublens_article

Fetch full article details (EN + ZH summaries, use cases, highlights, tags, stars, category, score) by slug.

Parameter Type Description
slug string Project slug, e.g. facebook-react

Example prompts

  • "What AI OSS projects are trending today?" → hublens_trending(category: "AI")
  • "Find me Rust-based vector databases tracked by HubLens." → hublens_search(q: "vector")
  • "Summarize the HubLens writeup for langchain." → hublens_article(slug: "langchain-ai-langchain")

Data source

This server is a thin wrapper around the HubLens REST API (https://hublens.dev/api/v1/*). No local state, no credentials. See the API spec for endpoint details.

License

MIT © HubLens

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