Understanding Rules for Using Cursors MCP servers

"Understanding Rules for Using Cursors" matching MCP servers:

• agent-rules-mcp

  4regab

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  security

  A

  license

  -

  quality

  MCP server that enables your agents to use coding rules from any or your GitHub repository. Instead of workspace rules files, you can now prompt agents to access the your coding rules from any repository.

  Last updated 5 months ago

  19

  14

  MIT

• Trae Rules Generator MCP

  xiaochenwin

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  security

  A

  license

  -

  quality

  An MCP service that automatically generates and manages rule files for Trae AI projects, allowing users to create, read, update, and customize project rules based on project type and features.

  Last updated 7 months ago

  14

  MIT

• Firebase Rules API MCP Server

  ag2-mcp-servers

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  security

  F

  license

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  quality

  An MCP server that provides a conversational interface to Firebase Rules API, allowing users to manage and deploy rules that determine data access in Firebase services.

  Last updated 7 months ago

• MCP CloudOps IaC Rules Server

  somospragma

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  security

  F

  license

  -

  quality

  Enables the validation and generation of Terraform Infrastructure as Code according to Pragma CloudOps standards, covering security, structure, and documentation rules. It provides specialized tools for automated compliance reporting, security auditing, and standardized template generation.

  Last updated 6 months ago

• House Rules

  sanjaynela

  A

  security

  F

  license

  A

  quality

  Provides reusable AI assistant behavior rules as prompts and automatic git repository context (branch, commits, diffstat) to eliminate repetitive explanations across sessions and clients.

  Last updated a month ago

  1

• Todo for AI MCP Server

  todo-for-ai

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  security

  A

  license

  -

  quality

  Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

  Last updated 3 months ago

  28

  Apache 2.0