MCP server directory

ai-appsec

Audit AI applications and agents for security risks before commit, PR, merge, or deployment. Deterministic findings with coverage and evidence receipts.

Scans AI/LLM/agent application source code for security risks including unsafe AI-output execution, secrets exposure, RAG/model integration risks, insecure AI API usage, control gaps, and prompt/input-related risk signals.

Version:: 0.1.0
Publisher:: GitHub Actions
Company:: HAIEC (third-party)
Docs:: raw.githubusercontent.com/subodhkc/ai-appsec/HEAD/README.md; Summary written by google/gemini-2.5-flash-lite from the server’s own site and README; facts above come from the registries.

Install

Generated from the server’s transport data — never hand-written. Placeholders in angle brackets are yours to fill.

Run it with its own identity, a budget you set, and every call audited — no local config to keep in sync.

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What it can do

No capability summary yet — the publisher has not declared one and it has not been verified.