A versatile MCP-compliant web content fetching tool that supports multiple modes (browser/node), formats (HTML/JSON/Markdown/Text), and intelligent proxy detection, with bilingual interface (English/Chinese).
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"mult-fetch-mcp-server": {
"env": {
"MCP_LANG": "en"
},
"args": [
"@lmcc-dev/mult-fetch-mcp-server"
],
"command": "npx"
}
}
}Are you the author?
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This project implements an MCP-compliant client and server for communication between AI assistants and external tools.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@lmcc-dev/mult-fetch-mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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This project implements an MCP-compliant client and server for communication between AI assistants and external tools.
fetch-mcp/
├── src/ # Source code directory
│ ├── lib/ # Library files
│ │ ├── fetchers/ # Web fetching implementation
│ │ │ ├── browser/ # Browser-based fetching
│ │ │ │ ├── BrowserFetcher.ts # Browser fetcher implementation
│ │ │ │ ├── BrowserInstance.ts # Browser instance management
│ │ │ │ └── PageOperations.ts # Page interaction operations
│ │ │ ├── node/ # Node.js-based fetching
│ │ │ └── common/ # Shared fetching utilities
│ │ ├── utils/ # Utility modules
│ │ │ ├── ChunkManager.ts # Content chunking
│ │ │ ├── ContentProcessor.ts # HTML to text conversion
│ │ │ ├── ContentExtractor.ts # Intelligent content extraction
│ │ │ ├── ContentSizeManager.ts # Content size limiting
│ │ │ └── ErrorHandler.ts # Error handling
│ │ ├── server/ # Server-related modules
│ │ │ ├── index.ts # Server entry
│ │ │ ├── browser.ts # Browser management
│ │ │ ├── fet
... [View full README on GitHub](https://github.com/lmcc-dev/mult-fetch-mcp-server#readme)