MCP, MCP server
Agent Architecture Review Sample
The Architecture Review Agent is an open-source AI agent sample that reviews software architectures and generates interactive diagrams - automatically.
Compatibility: Not stated.
Grade B
Minor issues only, no Medium or High. Worth a quick look at the findings below before installing.
Not a guarantee. A hygiene check of the source at the commit shown, not a security audit.
Rescanned at commit 9828e161e18a, unchanged since the check below.
INSTALL_UNPINNED NETWORK_NO_FIXED_HOST SECRETS_PATH_DOTENV SECRETS_ENV_READ
Why this grade
- INSTALL_UNPINNED Low
Dependencies use a range or git URL with no lockfile.
requirements.txt, line 2
azure-ai-agentserver-agentframework>=1.0.0b17 - NETWORK_NO_FIXED_HOST Low
Makes a network call whose host is not written as a fixed address.
frontend/src/api.js, line 8
const res = await fetch(`${BASE}/api/review`, { - SECRETS_PATH_DOTENV Low
Mentions a .env file.
AGENTS.md, line 124
cp .env.template .env # then edit with your Azure OpenAI settings - SECRETS_ENV_READ Note
Reads an environment variable whose name contains KEY, SECRET, TOKEN, PASSWORD or CREDENTIAL.
tools.py, line 610
api_key = os.environ.get("AZURE_OPENAI_API_KEY", "")
Any High, or two or more Medium findings, give D. One Medium gives C. Low findings or a security Note give B. Each code names a finding behind the letter.
Grades are a hygiene check of the source at the commit shown, on the date checked, not a security audit or a guarantee. The free directory grades are automated. Before release, a PlugVet engineer reviews every paid report and any grade we hold back, including all F grades, against the source code and the evidence we quote.
What was checked
Plain notes from the hygiene checks.
Permissions
Pass
No shell or command execution found, and no extra permission was declared.
Install and update
Concern
dependencies are not pinned.
INSTALL_UNPINNED
requirements.txt, line 2
azure-ai-agentserver-agentframework>=1.0.0b17
Network
Concern
can reach a host that is not written as a fixed address.
NETWORK_NO_FIXED_HOST
frontend/src/api.js, line 8
const res = await fetch(`${BASE}/api/review`, {
frontend/src/api.js, line 24
const res = await fetch(url, { method: "POST", body: form });
frontend/src/api.js, line 41
const res = await fetch(pngDownloadUrl(runId));
Show more
frontend/src/api.js, line 48
const res = await fetch(url);
Dockerfile.web, line 40
CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/health')" || exit 1
Secrets
Concern
reads a credential or environment file.
SECRETS_ENV_READ SECRETS_PATH_DOTENV
AGENTS.md, line 124
cp .env.template .env # then edit with your Azure OpenAI settings
run_local.py, line 80
console.print(f" [dim] Hint:[/dim] Set AZURE_OPENAI_ENDPOINT in .env for LLM inference on unstructured input")
tools.py, line 610
api_key = os.environ.get("AZURE_OPENAI_API_KEY", "")
Show more
scripts/linux-mac/deploy-webapp.sh, line 6
# configures the web app with environment variables from .env.
scripts/linux-mac/deploy-webapp.sh, line 151
ENV_FILE="${PROJECT_ROOT}/.env"
scripts/linux-mac/deploy-webapp.sh, line 161
echo " Loaded settings from .env"
scripts/linux-mac/deploy-webapp.sh, line 163
echo " [WARN] No .env file found. Set app settings manually."
scripts/linux-mac/setup.sh, line 4
# and copies .env.template to .env if it doesn't exist.
scripts/linux-mac/setup.sh, line 88
# ── 5. Copy .env.template → .env (if needed) ─────────────────────────────────
Agent instructions
Pass
No instruction to ignore earlier instructions or to hide a step.
Obfuscation
Pass
No encoded or minified payload found.
Licence
Pass
A licence file is present (LICENSE).
Maintainer activity
Pass
The latest commit is within the last 365 days.
Note
Hygiene check of commit 9828e161e18a. dependencies are not pinned. can reach a host that is not written as a fixed address. reads a credential or environment file.
Date and source
Date checked:
github.com
Commit graded: 9828e161e18a80b87c073118ebc9118ca1727afc
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