HubLensOfficial/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