SurfSense is an open-source competitive intelligence platform that supplies AI agents with live scraping connectors, an MCP server, and a knowledge base for generating cited briefs and alerts. It is not yet production-ready and depends on the stability of third-party scraping targets.
Project overview
It addresses the gap between expensive, rate-limited official data APIs and brittle scraping by providing live connectors and an MCP server for AI agents to produce cited research.
Project type
MCP
Use cases
Search & Research · Automation
Deployment
Refer to project documentation
License
License pending
Best for
Developers and creators who need an open-source tool to automate competitive intelligence gathering and cited report generation.
Key capabilities
Supports scheduled or event-triggered agent turns that write results back to tools such as Notion, Slack, Linear, and Jira using natural language prompts.
Limitations and risks
The project is documented as not yet production-ready.
The platform depends on the stability of scraping third-party platforms, which may change their structures and cause disruptions.
Getting started
Installation difficulty is rated as easy because the project provides a one-line bash/PowerShell script for Docker that handles setup automatically. Users need to install Docker Desktop and run the provided curl command.
Alternatives and comparisons
Provides unified situational awareness and geopolitical monitoring using a different approach to intelligence gathering.
Builds autonomous multi-agent systems with RAG and multi-LLM support for executing complex research workflows.
Provides one-click collection and aggregation of publicly available company information across multiple enterprise sources.