AI & Machine Learning

alternativasia.com

Searches and retrieves detailed information about AI tools from the Alternativas IA catalog, including alternatives and submission options.

1 endpoint0 known toolsFirst detected August 21, 2026Last detected September 21, 2026

ENDPOINT 1

https://alternativasia.com/api/mcp/mcp

No auth detected

No tool metadata was available in the registry cache.

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.alternativasia-com]
url = "https://alternativasia.com/api/mcp/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "alternativasia-com": {
      "type": "http",
      "url": "https://alternativasia.com/api/mcp/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: alternativasia-com
Remote MCP URL: https://alternativasia.com/api/mcp/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": {
    "alternativasia-com": {
      "url": "https://alternativasia.com/api/mcp/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "alternativasia-com": {
      "type": "http",
      "url": "https://alternativasia.com/api/mcp/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "alternativasia-com",
  "transport": "streamable-http",
  "url": "https://alternativasia.com/api/mcp/mcp"
}

MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

BuiltWith Trust API v2 evidence for alternativasia.com was fetched 2026-08-21T22:25:05.302Z and is being refreshed.

Trust status Neutral

alternativasia.com is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

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