Guardrly

by fishcoco-code

253 downloads

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GitHub

About

Non-invasive AI Agent operation monitoring — audit every API call your agent makes to Shopify, Meta Ads, and more. Real-time alerts, audit logs, and operation history. Works with Claude Desktop, Cursor, and any MCP-compatible AI tool.

Details

Author: fishcoco-code
Downloads: 253
Categories: Developer Tools, Infrastructure, Security, AI

- Real-time interception of every HTTP request
- Automatic PII scrubbing (API keys, tokens, sensitive data)
- 100+ semantic rules for Shopify and Meta Ads APIs
- Risk-based email alerts for Level 3 critical operations
- Complete audit trail queryable from Dashboard
- Supports Shopify Admin API, Meta Ads API, and generic HTTP logging

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Guardrly

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

From the repository

Install via a one-liner for Mac/Linux or Windows PowerShell (as shown in the README). After installation, configure it via the Guardrly Dashboard at app.guardrly.com; no further configuration steps are described.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "guardrly": {
            "guardrly": {
                "command": "guardrly",
                "args": [],
                "env": {
                    "GUARDRLY_API_KEY": "your_api_key_here",
                    "GUARDRLY_API_URL": "https://api.guardrly.com",
                    "HMAC_SECRET": "your_hmac_secret_here"
                }
            }
        }
    }
}

McpServers

{
    "guardrly": {
        "command": "guardrly",
        "args": [],
        "env": {
            "GUARDRLY_API_KEY": "your_api_key_here",
            "GUARDRLY_API_URL": "https://api.guardrly.com",
            "HMAC_SECRET": "your_hmac_secret_here"
        }
    }
}

Guardrly — AI Agent Operation Monitor

Guardrly is a non-invasive MCP Server that monitors every API call your AI Agent makes to external platforms like Shopify and Meta Ads.

Why Guardrly?

AI Agents like Claude Code and Cursor can execute hundreds of API calls autonomously. Without visibility, you risk: - Unexpected data modifications (deleted products, cancelled orders) - Platform bans from rate limit violations - No audit trail when something goes wrong

Key Features

- Real-time interception — Every HTTP request your Agent makes passes through Guardrly first - Automatic PII scrubbing — API keys, tokens, and sensitive data are removed before any data leaves your machine - 100+ semantic rules — For Shopify Admin API and Meta Marketing API - Risk-based alerts — Email notifications for Level 3 critical operations - Complete audit trail — Query every Agent operation from your Dashboard

Supported Platforms

- Shopify Admin API — 50 rules, 10 operation categories - Meta Ads API — 50 rules, 10 operation categories - Generic HTTP — Basic logging for any other API

Quick Install

Mac / Linux: \\\

bash
curl -fsSL https://guardrly.com/install.sh | bash
\

\\ Windows (PowerShell): \\\

powershell
irm https://guardrly.com/install.ps1 | iex
\

\\

Links

- Website: guardrly.com - Dashboard: app.guardrly.com - Docs: guardrly.com/docs - GitHub: github.com/fishcoco-code/guardrly-mcp

Pricing

Free tier available. Paid plans start at $49/month.

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About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Guardrly — AI Agent Operation Monitor

Why Guardrly?

Key Features

Supported Platforms

Quick Install

Links

Pricing

Install

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