Cortex Scout functions as an MCP server and the Deep Research & Web Extraction module within the Cortex-Works ecosystem. It is specifically engineered for AI Agents, offering capabilities to integrate with CortexDB and CortexStudio for multi-agent scaling, shared retrieval artifacts, and centralized governance. Developed by Cortex Works, this free-licensed program is categorized as an mcps tool, providing specialized web interaction for advanced agent workloads. Its design supports efficient web retrieval and anti-bot handling for AI-driven tasks.

What does Cortex Scout connect to?

Cortex Scout operates as an MCP server, integrating with CortexDB and CortexStudio to enable multi-agent scaling and shared retrieval artifacts. It supports transport protocols via MCP over stdio and an optional HTTP server. For AI clients, it is recommended for use with VS Code, Cursor, and Claude Desktop when running the cortex-scout-mcp stdio server. It also works with OpenAI-compatible endpoints such as OpenRouter, Ollama, and LM Studio, particularly for its deep research capabilities.

Core features and tools

Cortex Scout exposes several callable tools for AI agents. These include web_search for URL discovery, web_fetch for content retrieval, and extract_fields for structured data extraction. For stateful browser control, it offers scout_browser_automate. Other tools are deep_research for multi-hop search and synthesis, and memory_search for research history. It also provides scout_agent_profile_auth and hitl_web_fetch to manage authentication for web resources.

Who is it for?

Cortex Scout targets AI Agents and agent workloads that require token-efficient web retrieval, anti-bot handling, and optional Human-in-the-Loop (HITL) fallback. It is designed for applications needing multi-agent scaling and centralized governance within the Cortex-Works ecosystem. This tool is for developers building AI agents that need to interact with the web at a deep level. Skip this if your application does not involve AI agents requiring web interaction.

How to get started

No credentials are required to access the Cortex Scout MCP server itself. The server supports MCP over stdio and an optional HTTP server for transport protocols.

Use cases

• Deep Research: Automating multi-hop search, scraping, and LLM synthesis.
• Web Extraction: Performing structured web content extraction optimized for downstream LLM use.
• Stateful Browser Automation: Enabling AI agents to control browsers for tasks like E2E testing.

Cortex Scout provides specialized web interaction capabilities for AI agents, serving as a key module within the Cortex-Works ecosystem. It offers tools for deep research, structured extraction, and browser automation, supporting various AI client integrations. Its focus on agent workloads and web handling makes it a dedicated tool for specific development needs. Try automating a multi-hop search and synthesis task using its deep_research tool.