Security & Testing
internalisoaudit.com
Provides ISO 27001 compliance guidance, control listing, and cross-reference mapping.
ENDPOINT 1
https://internalisoaudit.com/api/mcp
MCP server metadata
- Name
- InternalISOAudit
- Version
- 1.0.0
Known tools 4
get_control_guidanceGet audit guidance for a specific ISO 27001 control by its ID (e.g.
Inferred read-onlylist_controlsList all ISO 27001 controls, optionally filtered by domain (organizational, people, physical, technological, isms).
Inferred read-onlyCONNECT 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.internalisoaudit]
url = "https://internalisoaudit.com/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"internalisoaudit": {
"type": "http",
"url": "https://internalisoaudit.com/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: internalisoaudit
Remote MCP URL: https://internalisoaudit.com/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": {
"internalisoaudit": {
"url": "https://internalisoaudit.com/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"internalisoaudit": {
"type": "http",
"url": "https://internalisoaudit.com/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "internalisoaudit",
"transport": "streamable-http",
"url": "https://internalisoaudit.com/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for internalisoaudit.com was fetched 2026-07-27T00:22:40.575Z and is being refreshed.
internalisoaudit.com is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.