brightdata-mcp vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
brightdata-mcp by brightdata | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 2,366 | ★ 85,748 |
| 30d uses | — | — |
| Score | 57 | 77 |
| Official | — | ✓ |
| Categories | Web ScrapingDeveloper ToolsAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | JavaScript | TypeScript |
| Last commit | 1 mo ago | this month |
brightdata-mcp · Summary
A powerful MCP server providing real-time web access without blocking for AI agents.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
brightdata-mcp · Use cases
- Real-time research for current prices, news, and live data
- E-commerce intelligence and price monitoring
- Coding agents accessing npm/PyPI package metadata and READMEs
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
brightdata-mcp · Install
Quick Start
**Use the hosted server (recommended):** Add this URL to your MCP client configuration:
https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN_HERE**Run locally:**
{
"mcpServers": {
"Bright Data": {
"command": "npx",
"args": ["@brightdata/mcp"],
"env": {
"API_TOKEN": "<your-api-token-here>"
}
}
}
}**Claude Desktop setup:**
- Go to Settings → Connectors → Add custom connector
- Name:
Bright Data Web - URL:
https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN - Click "Add"
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.