Code Guardrly

v0.1.3Securitystable

Non-invasive AI Agent monitoring — audit every API call to Shopify, Meta Ads, and more

io-github-fishcoco-code-guardrlymcpai-integration
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What is Code Guardrly?

Code Guardrly is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to non-invasive ai agent monitoring — audit every api call to shopify, meta ads, and more

Non-invasive AI Agent monitoring — audit every API call to Shopify, Meta Ads, and more

This server falls under the Security and Monitoring & Observability categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Non-invasive AI Agent monitoring — audit every API call to S

Use Cases

Monitor API calls to Shopify, Meta Ads, and other platforms.
Audit AI agent activity without invasive instrumentation.
Community

Maintainer

LicenseMIT
Languagepython
Versionv0.1.3
UpdatedApr 17, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

PIP

pip install guardrly

Manual Installation

pip install guardrly

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Code Guardrly

What is Code Guardrly?

Code Guardrly is a Model Context Protocol (MCP) server that non-invasive ai agent monitoring — audit every api call to shopify, meta ads, and more It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Code Guardrly?

Install via pip with: pip install guardrly. Then configure your AI client to connect to this MCP server.

Which AI clients work with Code Guardrly?

Code Guardrly works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Code Guardrly free to use?

Yes, Code Guardrly is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "io-github-fishcoco-code-guardrly": { "command": "pip", "args": ["install", "guardrly"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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