AI Research Radar: arXiv + Hugging Face Papers
Pricing
from $2.00 / 1,000 papers
One ranked, de-duplicated feed of new AI papers (arXiv) enriched with Hugging Face daily-paper upvotes, GitHub repos/stars and trending models. Filter by category, keyword, upvotes, 'has code'; incremental 'only new' monitoring; optional LLM digest (bring your own key).
You can access the AI Research Radar: arXiv + Hugging Face Papers programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,tendoyo/ai-research-radar" } }}The configuration above connects to the hosted Apify MCP server with the AI Research Radar: arXiv + Hugging Face Papers Actor already loaded. It uses OAuth, so your client opens a browser window to sign you in to Apify on first use. No API token is needed. Clients without OAuth support can authenticate with an Authorization: Bearer header carrying an API token from API & Integrations in Apify Console.
Get a ready-to-use configuration for your MCP client with the AI Research Radar: arXiv + Hugging Face Papers Actor preconfigured at https://mcp.apify.com/?tools=fetch-actor-details,tendoyo/ai-research-radar.
You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.