SurfSense

by MODSetter · MCP Server · ★ 16.0k

About SurfSense

English 简体中文 SurfSense: The Open-Source NotebookLM Alternative for Open Web Research SurfSense is the open-source NotebookLM alternative for AI agents, an open web research platform with live data connectors. Your agents research the live web with structured data from Reddit, YouTube, Instagram, TikTok, Amazon, Walmart, Google Maps, Google Search, Indeed, and any page on the open web, through one REST API or MCP server. Scheduled and event-triggered agents turn what they find into briefs and alerts, and a built-in know

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Quick Facts

Stars15,996
Forks1,526
LanguagePython
CategoryMCP Server
Quality Score65.1265289870472/100
Open Issues126
Last Updated2026-08-21
Created2024-07-30
Platformsbrowser, mcp, python
Est. Tokens~17k

Compatible Skills

These tools work well together with SurfSense for enhanced workflows:

  • notebooklm-py — semantic(0.38)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
  • antigravity-plugin-cc — semantic(0.27)+complementary+rare_topics+same_lang+shared_platform (58%)
  • oxylabs-ai-studio-py — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • langchain — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • deepwiki-open — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)

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Frequently Asked Questions

What is SurfSense?

SurfSense is Open-source NotebookLM alternative. Research the open web with live data(Reddit, YT, IG, TikTok, Indeed, Google Search, Maps etc) through one platform, API or MCP server. Join our Discord: https://dis. It is categorized as a MCP Server with 16.0k GitHub stars.

What programming language is SurfSense written in?

SurfSense is primarily written in Python. It covers topics such as agent, agents, ai.

How do I install or use SurfSense?

You can find installation instructions and usage details in the SurfSense GitHub repository at github.com/MODSetter/SurfSense. The project has 16.0k stars and 1526 forks, indicating an active community.

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