AI & Machine Learning

llmsmap.ru

Provides a searchable catalog of websites with llms.txt files, including token counts and metadata, to help discover AI-friendly resources.

1 endpoint2 known toolsFirst detected August 23, 2026Last detected August 23, 2026

ENDPOINT 1

https://llmsmap.ru/api/mcp

No auth detected

Capabilities

tools

Get approved sites in the llmsmap.ru catalog with llms.txt URLs, token counts, and metadata.

Inferred read-only

Search the llmsmap.ru catalog by product name or URL.

Inferred read-only

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.llmsmap-mcp]
url = "https://llmsmap.ru/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "llmsmap-mcp": {
      "type": "http",
      "url": "https://llmsmap.ru/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: llmsmap-mcp
Remote MCP URL: https://llmsmap.ru/api/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": {
    "llmsmap-mcp": {
      "url": "https://llmsmap.ru/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "llmsmap-mcp": {
      "type": "http",
      "url": "https://llmsmap.ru/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "llmsmap-mcp",
  "transport": "streamable-http",
  "url": "https://llmsmap.ru/api/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 llmsmap.ru was fetched 2026-08-25T23:46:40.684Z.

Trust status Neutral

llmsmap.ru 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.