MCP Crew Risk

Provides automated crawler compliance risk assessments for target webpages across legal, social, and technical dimensions.

javascript

3

GitHub Stars

javascript

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "deeppath-ai-mcp-crew-risk": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-crew-risk"
      ]
    }
  }
}

You can use this MCP server to perform a comprehensive crawler compliance risk assessment for a target webpage, covering legal, social/ethical, and technical dimensions. It provides structured risk ratings and actionable recommendations to guide crawler behavior and protect your project from legal and operational pitfalls.

How to use

Run the MCP server with your MCP client to start a crawl risk assessment. You will specify the target URL, and the server will return a structured risk evaluation that includes legality, social ethics, and technical readiness. Use the results to adjust your crawling strategy, respect site policies, and implement appropriate data handling measures.

How to install

Prerequisites: Node.js and npm must be installed on your machine.

Clone the project repository.
Install dependencies.
Run the server using the provided MCP command.

Installation steps

git clone https://github.com/Joooook/mcp-crew-risk.git
npm i

Quick start using the MCP server

npx -y mcp-crew-risk

MCP server configuration

{
  "mcpServers": {
    "mcp-crew-risk": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-crew-risk"
      ]
    }
  }
}

Configuration notes

The MCP server entry shown above uses a stdio configuration, running the mcp-crew-risk package via npx. If you adapt this for a local development setup, ensure the runtime command and arguments match your environment and keep the command visible in your startup scripts.

Security and data handling considerations

Respect target site policies and privacy requirements. Do not store or process personal data without proper consent where required. Use anonymization and data minimization whenever possible.

Examples of what you can expect from the risk report

A three-tier risk rating per dimension (allowed, partial, blocked).
Practical recommendations tailored to legal, social/ethical, and technical risks.
Guidance to adjust crawl frequency, data scope, and handling procedures.

Available tools

Target Access Check

Verifies reachability of the target site, returns HTTP status, and detects redirects to assess basic accessibility.

Anti-Crawling Detection

Detects anti-crawling protections like JS challenges and security mechanisms; parses robots.txt and relevant headers.

Content and Legal Scan

Searches for copyright notices, terms of service references, and regex-based detection of personal data to warn on legal/privacy risks.

Public API Detection

Identifies open API endpoints and assesses authentication and rate-limiting risks.

Risk Evaluation

Aggregates findings into a three-level permissibility rating and provides actionable recommendations.