Find Rules MCP Server

❌ Without Find Rules

LLMs often struggle with maintaining consistent coding standards and best practices:

• ❌ Inconsistent code quality and standards across different tasks
• ❌ Missing critical technical considerations and edge cases
• ❌ Overlooked best practices and security requirements

✅ With Find Rules

Find Rules MCP analyzes your task requirements and provides comprehensive guidance before you start coding:

• ✅ Clear, task-specific guidance rules
• ✅ Best practices tailored to your tech stack
• ✅ Quality standards and technical considerations

Add use find-rules to your prompt in Trae/Cursor/Windsurf:

Create a basic Next.js project with app router. use find-rules

Create a script to delete the rows where the city is "" given PostgreSQL credentials. use find-rules

Get instant guidance:

• 1️⃣ Describe your task requirements naturally
• 2️⃣ Tell the LLM to use find-rules
• 3️⃣ Receive comprehensive guidelines

No more inconsistent code quality, no missed best practices, no overlooked technical considerations.

🚀 Quick Start

MCP (Model Control Protocol) provides the easiest way to get started with Task Master directly in your editor.

1. Add the MCP config to your editor (Cursor recommended, but it works with other text editors):

{
  "mcpServers": {
    "FindRules": {
      "command": "npx",
      "args": ["-y", "find-rules"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "OPENAI_BASE_URL": "your-openai-base-url",
        "OPENAI_MODEL": "your-openai-model"
      }
    }
  }
}

2. Enable the MCP in your editor

Environment Variables

This service supports configuration through environment variables:

| Environment Variable | Description | Default | Note | | -------------------- | ----------------------------------------------- | ---------------------------------- | --------------------------------------------------------------------------- | | OPENAI_API_KEY | OpenAI API key for calling large model services | None | Configuring this variable can significantly improve rule selection accuracy | | OPENAI_BASE_URL | Base URL for OpenAI API | https://openrouter.ai/api/v1 | Can be configured to use other compatible API services | | OPENAI_MODEL | Name of the large model to use | meta-llama/llama-4-maverick:free | Can choose different models to balance performance and cost |

Development

For development guidelines and rule customization, see Development Guide.

Credits

All rule data is sourced from Cursor Directory. Copyright belongs to the original authors.

License

MIT