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Tue, July 2104:30ToolsAPI & pricingMCP & SkillsOpen sourceAPI & pricing guide

SurfSense: Open-Source NotebookLM Alternative with Real-Time Web Data

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Decision Brief

What changedSurfSense is an open-source platform that serves as a NotebookLM alternative, providing access to real-time data from Reddit, YouTube, and other sources via REST API or MCP server.
Why it mattersFor AI agent developers, SurfSense offers a unified real-time data interface and MCP tools, eliminating the hassle of rate limiting and parsing.
Who should careAI coding tool users, Agent builders
Affected stackMCP
Builder actionCheck whether your existing MCP servers are affected
Source confidenceHigh · Official release / blog / repo

SurfSense is an open-source research platform, originally a NotebookLM alternative, now focused on providing real-time web data for AI agents. It offers connectors for multiple platforms including Reddit, YouTube, Instagram, TikTok, Amazon, Google Maps, Google Search, and general web scraping, returning structured JSON data (e.g., posts, comments, transcripts, search results) via REST API or MCP server. This avoids the rate limits of official APIs as well as the high cost and low efficiency of browser automation. The platform also features a knowledge base, automation workflows, team collaboration, and a desktop app. SurfSense supports self-hosting with Docker and offers a cloud version with a $5 free credit for new users. Pricing is per returned entry, with no charge for failed calls.

Summary basis: full article readCompiled from the source scope noted above; the original remains authoritative.

Sources

  • Skill Radar（GitHub 趋势）

    Trending hands-on MCP servers, agent skills, and AI-coding tools discovered from GitHub search momentum.

  • GitHub：MODSetter/SurfSense

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