← Registry

Browser Tools

myaihardware.com

An MCP server that provides tools to search a site's published page titles and paths and to read public HTML pages as Markdown.

1 endpoint2 known toolsFirst detected September 18, 2026Last detected September 18, 2026

ENDPOINT 1

https://www.myaihardware.com/mcp

No auth detected

MCP server metadata

Name
MyAIHardware
Version
1.0.0
Capabilities
resources.listChangedtools.listChanged

Known tools 2

search_site

Search published page titles and paths.

Inferred read-only
read_page

Read public HTML as Markdown.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.myaihardware]
url = "https://www.myaihardware.com/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "myaihardware": {
      "type": "http",
      "url": "https://www.myaihardware.com/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: myaihardware
Remote MCP URL: https://www.myaihardware.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "myaihardware": {
      "url": "https://www.myaihardware.com/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "myaihardware": {
      "type": "http",
      "url": "https://www.myaihardware.com/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "myaihardware",
  "transport": "streamable-http",
  "url": "https://www.myaihardware.com/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.