Security & Testing
kernora.ai
Provides security baseline rules and advisory checks to help AI coding agents avoid common security pitfalls.
ENDPOINT 1
https://agentsec.kernora.ai/mcp
MCP server metadata
- Name
- kernora-agent-security
- Version
- 0.1.0
Kernora Agent Security gives your agent a security baseline. Call get_security_baseline for the full known-good set, or check_action before a risky command. Advisory only — upgrade to Kernora Axiora for real-time blocking + attested audit ledger.
Known tools 2
get_security_baselineReturn 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).
Inferred read-onlycheck_actionAdvisory 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.
Potential side effectsCONNECT 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.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for kernora.ai was fetched 2026-08-04T02:23:31.965Z and is being refreshed.
kernora.ai is assessed as Trusted: Domain runs a meaningful technology spend, consistent with a real business.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.