Aidress

by Aidress-ai

366 downloads
Not rated
GitHub

About

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.

Details

Author
Aidress-ai
Downloads
366
Categories
Other, AI, Developer Tools, Infrastructure

- 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

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Aidress
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

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

By plugging the Aidress MCP server into your AI assistant, LLM, or development environment, you instantly empower your agents to securely discover, verify, and interact with external systems and services autonomously.

Key Capabilities
Trust & Identity Registry: Verify agent and service endpoints securely.

Agentic Routing: Seamlessly route requests and workflows across machine-to-machine protocols.

Zero-Config Integration: Instantly accessible via HTTP streaming with no local dependencies or API keys required.

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