Dns Aid Core by Infobloxopen is a free, Python-based MCP server designed for decentralized AI agent discovery. It uses DNS as its primary substrate, supporting various record types and DNS backends like Cloudflare and AWS Route 53. The tool enables AI agents to publish capabilities and find peers, connecting to HTTP endpoints for richer metadata. It is distributed as a Python package via pip and supports installation from its GitHub source repository. Dns Aid Core functions as a critical layer for multi-agent AI systems.

What does Dns Aid Core connect to?

Dns Aid Core connects to the Domain Name System (DNS) for its core discovery functions, utilizing SVCB, TXT, TLSA, DNS-SD, DNSSEC, and DANE record types. It also interacts with HTTP endpoints to fetch additional metadata and for indexing. The program supports a variety of DNS backends, including Akamai Edge DNS, AWS Route 53, Cloudflare, NS1 (IBM), Google Cloud DNS, Infoblox NIOS, Infoblox UDDI, and RFC 2136 Dynamic DNS providers such as BIND. It operates as an MCP server and a decentralized AI agent discovery layer.

Core features and tools

The Python SDK and CLI expose several callable tools. Key functions include publish_agent_to_dns, discover_agents_via_dns, verify_agent_dns, call_agent_tool, list_agent_tools, send_a2a_message, diagnose_environment, delete_agent_from_dns, list_published_agents, list_agent_index, and sync_agent_index. The CLI also offers commands such as "dns-aid publish", "dns-aid discover", "dns-aid verify", "dns-aid doctor", "dns-aid zones", "dns-aid list", "dns-aid init", and "dns-aid-mcp" for the MCP server component.

Who is it for?

Dns Aid Core is for AI developers and system architects building multi-agent or decentralized AI systems. It also serves operators and DevOps personnel who manage and automate infrastructure. The program supports AI agents like Claude and any Model Context Protocol client. It helps create systems where AI agents can self-register and discover peers. This is not the right fit if your project does not involve decentralized AI agent discovery or DNS-based service publication.

How to get started

The server authenticates using an API key passed as an environment variable. Setup involves configuring environment variables, such as CLOUDFLARE_API_KEY, to specify the chosen DNS backend and its associated credentials.

Use cases

• AI agents can publish their endpoints and capabilities to DNS, allowing other AI agents to discover them dynamically for composition and cross-domain tool discovery.
• Operators and DevOps can use the command-line interface for tasks like manual publishing, discovery, testing new agent deployments, and integration into shell scripts and CI/CD pipelines.
• The system enables AI agents to self-register and discover peers, supporting natural language DNS management and the creation of complex multi-agent workflows.

Dns Aid Core provides a foundational layer for decentralized AI agent discovery, built on DNS and Python. It supports secure agent publication and discovery through DNSSEC and DANE, connecting to various DNS providers. The tool is valuable for AI developers and operations teams creating multi-agent systems. Its MCP server component supports stdio and HTTP transports for client interaction.