mcp-context-template

The MCP Context Template serves as a centralized repository for AI tools (MCP) context that teams can reference to improve consistency and reduce context-switching costs. It organizes guidance, patterns, and examples across backend, frontend, mobile, and shared domains, along with prompts and usage examples. Tools like Claude Code and Cursor AI can be pointed at the ai-context/ directory to understand your codebase conventions, naming styles, domain patterns, and testing guidelines. Use the documented guides in prompts or references such as context/backend/service-patterns.md or prompts/test-generation.md to drive refactoring, test generation, or code reviews with consistent standards. To leverage it, configure your AI tooling to treat ai-context/ as the context path and explicitly reference the guides in prompts when requesting actions like refactoring or code review.

Prerequisites:

• Basic familiarity with Git and your preferred development environment
• Access to a terminal or command prompt

Installation steps:

1. Clone the repository: git clone https://github.com/your-org/mcp-context-template.git cd mcp-context-template

2. Inspect the directory structure and read the Markdown guidance:

   • context/ for architectural and style patterns
   • prompts/ for example prompts
   • examples/ for usage demonstrations

3. No runtime server is required for reading/documenting the MCP context template. If you want to integrate with an MCP runtime locally, ensure you have a compatible MCP runner installed (Node.js, Python, etc. depending on your chosen runtime) and reference the mcp_config accordingly. If you plan to convert this template into a runnable server for internal tooling, you can add a minimal server script and expose the repository as a context provider, then configure the appropriate mcp_config entry.

Tips and common considerations:

• Use the referenced paths (e.g., context/backend/service-patterns.md) as canonical sources when instructing AI prompts.
• Keep Markdown documents concise and well-structured to maximize AI comprehension.
• If integrating with Claude Code or Cursor AI, explicitly mention the path to the guidance in prompts, for example: Please refer to the following guide: context/backend/service-patterns.md.
• Regularly update the examples and prompts to reflect evolving coding standards and project practices.
• If you introduce new domains or guides, add corresponding entries in the directory and update the documentation accordingly.