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Non-invasive AI Agent monitoring — audit every API call to Shopify, Meta Ads, and more
About
Non-invasive AI Agent monitoring — audit every API call to Shopify, Meta Ads, and more
Security Report
Valid MCP server (1 strong, 3 medium validity signals). No known CVEs in dependencies. ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry.
13 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: GUARDRLY_API_KEY
Environment variable: GUARDRLY_API_URL
Environment variable: HMAC_SECRET
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-fishcoco-code-guardrly-mcp": {
"env": {
"HMAC_SECRET": "your-hmac-secret-here",
"GUARDRLY_API_KEY": "your-guardrly-api-key-here",
"GUARDRLY_API_URL": "your-guardrly-api-url-here"
},
"args": [
"guardrly"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
mcp-name: io.github.fishcoco-code/guardrly-mcp
Guardrly
Website: guardrly.com
Guardrly is a non-invasive AI Agent operation monitoring layer that intercepts, records, and alerts on every API call an AI Agent makes to external platforms - giving users full visibility into what their Agent did, when, and why.
Features
- Visibility - Turn Agent black-box operations into a human-readable audit trail
- Protection - Alert on dangerous operations before damage is done
- Evidence - Generate structured operation logs usable as appeal evidence for banned accounts
- Compliance - PII is scrubbed at the local layer before any data reaches the cloud
Installation
# Mac / Linux
curl -fsSL https://guardrly.com/install.sh | bash
# Windows (PowerShell)
iwr https://guardrly.com/install.ps1 | iex
Development Setup
# Install dependencies
poetry install
# Copy environment template
cp .env.example .env
# Edit .env with your credentials
# Run API server
poetry run uvicorn api.main:app --reload
License
MIT License. See LICENSE for details.
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