INDIVIDUAL MCP TOOL

check_action

Advisory check: given a described action or command the agent is about to take, return the baseline security factlets that plausibly apply, so the agent can self-correct.

kernora.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://agentsec.kernora.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for check_action and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Potential side effects detected · medium confidence · heuristic, not a guarantee.

A tool name or description suggests code or command execution.

Parent server

kernora.ai

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.kernora-agent-security]
url = "https://agentsec.kernora.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "kernora-agent-security": {
      "type": "http",
      "url": "https://agentsec.kernora.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: kernora-agent-security
Remote MCP URL: https://agentsec.kernora.ai/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": {
    "kernora-agent-security": {
      "url": "https://agentsec.kernora.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "kernora-agent-security": {
      "type": "http",
      "url": "https://agentsec.kernora.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "kernora-agent-security",
  "transport": "streamable-http",
  "url": "https://agentsec.kernora.ai/mcp"
}

MCP Inspector

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

Related tools

get_security_baseline — Return Kernora Agent Security's curated security baseline — the known-good rules an AI coding agent should follow (secrets, injection, supply-chain, destructive ops, data protection).