everything vs nutrient-dws-mcp-server
Side-by-side comparison to help you pick between these two MCP servers.
everything by modelcontextprotocol | nutrient-dws-mcp-server by PSPDFKit | |
|---|---|---|
| Stars | ★ 85,748 | ★ 63 |
| 30d uses | — | — |
| Score | 77 | 46 |
| Official | ✓ | — |
| Categories | Developer ToolsAI / LLM ToolsOther | Developer ToolsAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | 2 mo ago |
everything · Summary
Official MCP test server exercising all protocol features for client builders.
nutrient-dws-mcp-server · Summary
MCP server connecting AI agents to PDF processing capabilities via Nutrient DWS API for document manipulation.
everything · Use cases
- Testing MCP client implementations against all protocol features
- Learning MCP protocol capabilities through a reference server
- Validating client compatibility with different transport methods
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
everything · Install
NPX (recommended)
{
"mcpServers": {
"everything": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everything"]
}
}
}On Windows, use cmd /c:
{
"mcpServers": {
"everything": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
}
}
}Docker
{
"mcpServers": {
"everything": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/everything"]
}
}
}Global install
npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everythingnutrient-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