technitium-dns-mcp 0.30.0

Technitium DNS Server MCP Server and Agent for Agentic AI!

Technitium DNS MCP Server & Agent

Documentation — Installation, deployment, usage across the API, CLI, and MCP interfaces, and guidance for provisioning the Technitium DNS Server are maintained in the official documentation.

A production-grade Model Context Protocol (MCP) server and graph-based Pydantic AI agent integration for Technitium DNS Server. Exposes comprehensive, 100% covered REST API endpoints for user SSO, analytics metrics, authoritative zones, DNSSEC, and dynamic DNS record operations.

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🚀 Key Features

• 100% API Coverage: Complete mapping of Technitium User/SSO, Dashboard Analytics, Zone Management, DNSSEC, and Record Actions.
• FastMCP Protocol Integration: Dynamically registers stdio and streamable-http endpoints for large-scale AI tool discovery.
• Autonomous Agent Layer: Bundled with a Pydantic AI Agent that operates natively using advanced instruction graphs and local toolchains.
• Strict Compliance: Designed in accordance with standard codebase-wide architectural patterns (agent-packages).

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🛠️ Installation & Setup

Install package in editable mode with all optional dependencies:

pip install -e .[all]

Environment Variables

Configure .env using .env.example as a template:

# Server Endpoint & TLS
TECHNITIUM_DNS_URL=http://localhost:5380
TECHNITIUM_DNS_SSL_VERIFY=True

# Credentials / API Tokens
TECHNITIUM_DNS_TOKEN=your-secure-token

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⚙️ Dynamic Tool Selection & Visibility

This MCP server supports dynamic toolset selection and visibility filtering at runtime. This allows you to restrict the set of exposed tools in order to prevent blowing up the LLM's context window.

You can configure tool filtering via multiple input channels:

• CLI Arguments: Pass --tools or --toolsets (or their disabled counterparts --disabled-tools and --disabled-toolsets) during startup.
• Environment Variables: Define standard environment variables:
  • MCP_ENABLED_TOOLS / MCP_DISABLED_TOOLS
  • MCP_ENABLED_TAGS / MCP_DISABLED_TAGS
• HTTP SSE Request Headers: Pass custom headers during transport initialization:
  • x-mcp-enabled-tools / x-mcp-disabled-tools
  • x-mcp-enabled-tags / x-mcp-disabled-tags
• HTTP SSE Request Query Parameters: Append query parameters directly to your transport connection URL:
  • ?tools=tool1,tool2
  • ?tags=tag1

When query strings or parameters are supplied, an LLM-free Knowledge Graph resolution layer (using DynamicToolOrchestrator) matches query intents against known tool tags, names, or descriptions, with safe fallback and automated 24-hour background cache refreshing.

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🖥️ Running the Servers

Run MCP Server (stdio by default)

technitium-dns-mcp

Or start a streamable HTTP server:

TRANSPORT=streamable-http HOST=0.0.0.0 PORT=8000 technitium-dns-mcp

Run Pydantic AI Agent

technitium-dns-agent --mcp-url http://localhost:8000

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🧪 Running Tests

Ensure high reliability across all components with standard test suites:

pytest -v tests/

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Documentation

The complete documentation is published as the official documentation site and is the recommended reference for installation, deployment, and day-to-day operation.

Page	Contents
Installation	pip, source, extras, prebuilt Docker image
Deployment	run the MCP and agent servers, Compose, Caddy + Technitium, env config
Usage	the MCP tools, the Api client, the CLI
Backing Platform	deploy Technitium DNS Server with Docker
Overview	the layered API / MCP / agent architecture
Concepts	concept registry (CONCEPT:TDNS-*)

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Version: 0.30.0