filesystem vs nutrient-dws-mcp-server
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | nutrient-dws-mcp-server by PSPDFKit | |
|---|---|---|
| Stars | ★ 85,748 | ★ 63 |
| 30d uses | — | — |
| Score | 77 | 46 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | Developer ToolsAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | 2 mo ago |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
nutrient-dws-mcp-server · Summary
MCP server connecting AI agents to PDF processing capabilities via Nutrient DWS API for document manipulation.
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
nutrient-dws-mcp-server · Use cases
- Converting document formats through natural language commands
- Automating document redaction of sensitive information
- Digitally signing PDF documents with visible signatures
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.
nutrient-dws-mcp-server · Install
Installation
- Create a Nutrient account at [nutrient.io/api](https://dashboard.nutrient.io/sign_up/)
- Configure your AI client with the following settings:
Claude Desktop
{
"mcpServers": {
"nutrient-dws": {
"command": "npx",
"args": ["-y", "@nutrient-sdk/dws-mcp-server"],
"env": {
"SANDBOX_PATH": "/your/sandbox/directory"
}
}
}
}- Restart your AI client and place documents in your sandbox directory