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Non-invasive AI Agent monitoring — audit every API call to Shopify, Meta Ads, and more
npx @getmcp/cli add io.github.fishcoco-code/guardrly-mcpRequires Python 3.10+. Community-contributed server. Review source before installing.
GUARDRLY_API_KEYYour Guardrly API key from app.guardrly.com/settings
HMAC_SECRETYour HMAC secret from app.guardrly.com/settings MCP Configuration panel
Config file: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"io.github.fishcoco-code/guardrly-mcp": {
"command": "uvx",
"args": [
"guardrly"
],
"env": {
"GUARDRLY_API_KEY": "",
"GUARDRLY_API_URL": "https://api.guardrly.com",
"HMAC_SECRET": ""
}
}
}
}Operate your own Linux servers from your LLM. Requires the SentinelX agent installed per host.
AI agent run monitoring with incident replay and SLA receipts.
DevCycle MCP server for feature flag management
An MCP server connects your AI assistants to Infrahub using the open MCP standard.