MODSetter/SurfSense

Project overview

SurfSense is an open-source competitive intelligence platform that supplies AI agents with live web scraping, a knowledge base, and an MCP server to produce cited briefs and alerts. It supports flexible deployment through Docker, desktop, or hosted environments, and is currently not production-ready.

Project type

MCP

Use cases

Search & Research · Automation

Deployment

Refer to project documentation

License

License pending

Best for

• Developers and creators needing an open-source platform to supply their AI agents with live web data and knowledge base integration for report generation.

Key capabilities

• Enables scheduled or event-triggered agent actions that write results back to Notion, Slack, Linear, and Jira using natural language prompts.

Limitations and risks

• The project is not yet suitable for production-critical deployments.
• The platform depends on scraping third-party platforms, which may change their structures and affect data retrieval reliability.

Getting started

• Installation is classified as easy due to a one-line bash or PowerShell script that automates Docker setup. The first success path requires installing Docker Desktop and running the provided installation script.

Evidence and sources

• GitHub project description: NotebookLM for Competitive Intelligence Research. Give your AI agents access to live data from the Internet.
• README: SurfSense is the **open-source competitive intelligence platform for AI agents**, like NotebookLM but with live scraping connectors.
• README: Official platform APIs are rate-limited, priced for enterprises, or missing entirely, and scraping plumbing is brittle.
• README: **SurfSense is actively being developed.** While it's not yet production-ready, you can help us speed up the process.
• README: Platform-native connectors, each a typed REST endpoint returning structured JSON. No rate-limit roulette, no HTML parsing.

Reviewed at: 2026-07-17T14:33:35Z