cortex-scout vs fetch
Side-by-side comparison to help you pick between these two MCP servers.
cortex-scout by cortex-works | fetch by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 65 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 76 |
| Official | — | ✓ |
| Categories | Browser AutomationWeb ScrapingAI / LLM Tools | Web ScrapingAI / LLM ToolsProductivity |
| Language | Rust | TypeScript |
| Last commit | 1 mo ago | this month |
cortex-scout · Summary
Unified web extraction and stateful automation engine for AI agents with MCP integration.
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
cortex-scout · Use cases
- AI agents requiring token-efficient web retrieval with anti-bot handling
- Automated testing workflows replacing heavy frameworks like Playwright
- Research systems needing deep multi-hop search and extraction
fetch · Use cases
- LLMs reading news articles and blogs
- Content analysis of web pages
- Retrieving information from public websites
- Chunked reading of large web documents
cortex-scout · Install
Installation
Option A — Prebuilt binaries
Download the latest release assets from GitHub Releases:
cortex-scout-mcp— MCP stdio server (recommended for VS Code/Cursor/Claude Desktop)cortex-scout— optional HTTP server
Option B — Build from source
Install protoc first, then:
git clone https://github.com/cortex-works/cortex-scout.git
cd cortex-scout
cargo build --release --manifest-path mcp-server/Cargo.toml --bin cortex-scout-mcpClaude Desktop Integration
Add to your Claude Desktop config:
{
"mcpServers": {
"cortex-scout": {
"command": "env",
"args": [
"RUST_LOG=warn",
"CORTEX_SCOUT_TOOL_TIMEOUT_SECS=90",
"/path/to/cortex-scout-mcp"
]
}
}
}fetch · Install
Installation
**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:
uvx mcp-server-fetch**Using PIP** Install via pip:
pip install mcp-server-fetchThen run as:
python -m mcp_server_fetchClaude Desktop Configuration
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}
}