mcp-read-website-fast vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
mcp-read-website-fast by just-every | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 146 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | Web ScrapingAI / LLM ToolsDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 1 mo ago | this month |
mcp-read-website-fast · Summary
A fast, token-efficient MCP server that converts websites to clean Markdown for AI agents.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
mcp-read-website-fast · Use cases
- Research assistants quickly summarizing web articles
- AI developers building knowledge graphs from web content
- Content creators aggregating information from multiple sources
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
mcp-read-website-fast · Install
Installation
Claude Code
claude mcp add read-website-fast -s user -- npx -y @just-every/mcp-read-website-fastVS Code
code --add-mcp '{"name":"read-website-fast","command":"npx","args":["-y","@just-every/mcp-read-website-fast"]}'Raw JSON (works in any MCP client)
{
"mcpServers": {
"read-website-fast": {
"command": "npx",
"args": ["-y", "@just-every/mcp-read-website-fast"]
}
}
}filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.