fetch vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
fetch by modelcontextprotocol | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 85,748 | ★ 85,748 |
| 30d uses | — | — |
| Score | 76 | 77 |
| Official | ✓ | ✓ |
| Categories | Web ScrapingAI / LLM ToolsProductivity | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
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
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
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"]
}
}
}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.