by cortex-works · MCP Server · ★ 63
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A unified web extraction and stateful automation engine for AI. Replaces heavy testing frameworks with token-optimized browser control, deep research, and HITL.
| Stars | 63 |
| Forks | 6 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 35.25/100 |
| Last Updated | 2026-04-10 |
| Created | 2025-08-09 |
| Platforms | browser, mcp, rust, vscode |
| Est. Tokens | ~1504k |
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cortex-scout is A unified web extraction and stateful automation engine for AI. Replaces heavy testing frameworks with token-optimized browser control, deep research, and HITL.. It is categorized as a MCP Server with 63 GitHub stars.
cortex-scout is primarily written in Rust. It covers topics such as ai-agents, anti-bot-bypass, automated-testing.
You can find installation instructions and usage details in the cortex-scout GitHub repository at github.com/cortex-works/cortex-scout. The project has 63 stars and 6 forks, indicating an active community.
cortex-scout is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cortex-scout on Agent Skills Hub include flyto-core, Ori-Mnemos, shodh-memory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.