Aidress

Name: Aidress
Author: Aidress-ai

@Aidress-ai

Aidress について

Aidress is the coordination layer for autonomous AI agents. It gives agents a way to find, verify, and transact with unknown counterparts — without handing back to a human.

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

Aidress-ai

投稿者

Mehulvig24

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "aidress": {
      "url": "https://api.aidress.ai/mcp-http/mcp"
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Aidress?

Aidress is a foundational coordination and identity layer designed for autonomous AI agents. It acts as a universal trust registry and routing network, enabling machine-to-machine discovery, seamless interoperability, and secure communication across the agentic web via the Model Context Protocol (MCP).

How to use Aidress?

Plug the Aidress MCP server into your AI assistant, LLM, or development environment. No specific configuration commands or keys are required; integration is instant via HTTP streaming.

Key features of Aidress

Trust & Identity Registry for secure endpoint verification
Agentic Routing across machine-to-machine protocols
Zero‑config integration via HTTP streaming
No local dependencies or API keys required

Use cases of Aidress

Enable agents to securely discover, verify, and interact with external systems and services autonomously
Seamlessly route requests and workflows between different machine-to-machine protocols

FAQ from Aidress

What runtime or dependencies does Aidress require?

Aidress requires no local dependencies or API keys; it is accessible instantly via HTTP streaming.

What transport does Aidress use?

Aidress uses HTTP streaming for communication.

Is an API key or authentication needed?

No, Aidress offers zero‑config integration with no API keys required.

How does Aidress verify identity and trust?

Aidress acts as a universal trust registry, securely verifying agent and service endpoints.

「その他」の他のコンテンツ

🚀 Model Context Protocol (MCP) Curriculum for Beginners

microsoft

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

16.7K

Core Philosophy: Connect, Unify, Respond

mindsdb

Delegate anything. It comes back done.

39.4K

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K