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Cryptography

PBKDF2 Generator

Generate PBKDF2 key derivation hash

text· Text resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL
curl -X POST 'https://api.elysiatools.com/en/api/tools/pbkdf2-generator' \
  -H 'Content-Type: application/json' \
  -d '{"password":"Enter password to derive key from...","salt":"Enter salt in hex format (leave empty to generate random)","algorithm":"sha256","iterations":100000,"keyLength":32}'

API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP
POST https://api.elysiatools.com/en/api/tools/pbkdf2-generator

Parameters

NameTypeRequiredDescription
passwordtextYes—
salttextNo—
algorithmselectYes—
iterationsnumberNo—
keyLengthnumberNo—

Response format

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json
{
  "mcpServers": {
    "elysiatools-pbkdf2-generator": {
      "name": "pbkdf2-generator",
      "description": "Generate PBKDF2 key derivation hash",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=pbkdf2-generator",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call
{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "pbkdf2-generator",
    "arguments": {
  "password": "Enter password to derive key from...",
  "salt": "Enter salt in hex format (leave empty to generate random)",
  "algorithm": "sha256",
  "iterations": 100000,
  "keyLength": 32
}
  }
}
Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).

Questions or issues? Contact [email protected]

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Text result

JSON
{
  "result": "Processed text content",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}