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Zero-install security baseline for AI coding agents — OWASP/CWE-cited rules over MCP.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-06-18
URL
Repository
kernora-ai/agent-sec
GitHub Stars
1
Server Listing
Kernora Agent Security
ChatGPT
–
Claude
–

TDQS

A4.2/5.0

Scored across 2 tools

Disambiguation5/5

The two tools are clearly distinct: one retrieves the entire security baseline, while the other checks a specific action against that baseline. There is no overlap in their purposes, so an agent can easily choose between them.

Naming Consistency5/5

Both tool names follow the same verb_noun pattern: 'check_action' and 'get_security_baseline'. This is consistent and predictable, making the tool surface easy to understand.

Tool Count3/5

With only two tools, the server feels thin for a security-focused utility. However, the two tools cover the essential advisory operations (obtaining the baseline and checking actions), so the count is not unreasonable for a narrowly scoped purpose.

Completeness4/5

The server covers its stated purpose: providing the baseline and enabling action checks. Minor gaps exist (e.g., no tool to inspect specific rules or handle bulk checks), but the core advisory workflow is complete.

Available Tools

2 tools
check_actionAInspect

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. Advisory only — does NOT block. Real-time blocking is Kernora Agent Security's paid Integrity Plane.

Inputs: action (required).

get_security_baselineAInspect

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). Advisory grounding.

Inputs: no named parameters.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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