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Aganium/agenium

by Various

AGENIUM — DNS of the Agent Web. Identity, trust & discovery for AI agents. MCP-compatible. agent:// protocol with mTLS, trust scores & capability search.

A

MCP

Aganium/agenium

Added 1 June 2026

#a2a #agent-discovery #agent-protocol #agent-registry #ai-agents #dns #mcp #mtls

Overview

A discovery and identity layer for AI agents, implementing a DNS-like system for the agent web. It provides an agent:// protocol with mTLS authentication, trust scores, and capability search, and is compatible with the Model Context Protocol.

Best for

Best for
Developers building multi-agent systems that need a standardized way to discover and trust other agents

Use cases

  • Discovering AI agents by capabilities and trust scores
  • Establishing authenticated connections between agents via mTLS
  • Resolving agent identifiers to service endpoints

How to use

Install

npm install @agenium/mcp-server

Example client config

{\n  "apiKey": "dom_your_api_key_here",\n  "agentUri": "agent://myagent"\n}

Notes

A discovery and identity layer for AI agents, implementing a DNS-like system for the agent web. It provides an agent:// protocol with mTLS authentication, trust scores, and capability search, and is compatible with the Model Context Protocol.

2 stars on GitHub. Last updated 2026-02-16. Licensed MIT.

Use cases

  • Discovering AI agents by capabilities and trust scores
  • Establishing authenticated connections between agents via mTLS
  • Resolving agent identifiers to service endpoints

Pros

  • MCP-compatible for integration with agent frameworks
  • Built-in trust scores and capability search for agent discovery
  • Uses mTLS for secure agent identity verification

Cons

  • Requires agents to support the agent:// protocol
  • Relies on mTLS infrastructure which adds complexity
  • Small community and limited production adoption (2 GitHub stars)

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • MCP-compatible for integration with agent frameworks
  • Built-in trust scores and capability search for agent discovery
  • Uses mTLS for secure agent identity verification

Cons

  • Requires agents to support the agent:// protocol
  • Relies on mTLS infrastructure which adds complexity
  • Small community and limited production adoption (2 GitHub stars)

Pairs with

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