Which integrations are available for this server?

Queries trending open-source projects detected from GitHub, providing AI agents with structured data about popular repositories including summaries, categories, and HubLens scores.

@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.