What is Koppla?
Koppla is an MCP server that enables natural‑language management of Active Directory users, groups, and computers through AI agents like Claude Desktop.
@ruudmens
Basic information
A Model-Context-Protocol (MCP) Server for Active Directory
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Koppla-Active-Directory": {
"command": "python",
"args": [
"-m",
"koppla.server"
],
"env": {
"AD_SERVER": "ldap://domain.com:389",
"AD_USER": "lazyadmin\\srv-account",
"AD_PASSWORD": "ENCRYPTED:PASSWORD",
"BASE_DN": "DC=lazyadmin,DC=nl",
"AD_WRITE_ENABLED": "false"
}
}
}
}Tool list not available yet
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Koppla is a Model Context Protocol (MCP) server for Active Directory that lets you manage users, groups, and computer objects using natural language. It is designed for use with Claude Desktop or other MCP-capable AI agents.
Install Koppla with pip install koppla, then configure it using the interactive configuration manager (koppla-config configure) or by setting environment variables manually. Add the server to the mcpServers section of your Claude Desktop configuration file. Optionally test the connection with koppla-config test.
Koppla is an MCP server that enables natural‑language management of Active Directory users, groups, and computers through AI agents like Claude Desktop.
Install it with `pip install koppla`. Python 3.7 or higher is required.
Yes. Koppla encrypts passwords using Fernet encryption, stores the key separately, disables write operations by default, and protects critical accounts. It also creates timestamped backups before modifying configuration.
Set the `AD_WRITE_ENABLED` environment variable to `"true"` in your server configuration.
All AD data you query or modify is transmitted to the AI agent for processing. Koppla itself does not store the data, but AI agents may retain conversation history under their own policies. Review your organization’s data handling requirements before use.

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