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.
# Claude Code
claude mcp add hublens -- npx -y @hublens/mcp-serverFor 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.
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) |
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 |
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 |
- "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")
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.
MIT © HubLens