Skip to content

README.md

Latest commit

 

History

History
112 lines (79 loc) · 2.47 KB

README.md

File metadata and controls

112 lines (79 loc) · 2.47 KB

Kiro MCP Server

An MCP (Model Context Protocol) server that exposes Kiro's system prompts and instructions.

Overview

This server provides access to Kiro's comprehensive system instructions, capabilities, guidelines, and quality standards through the Model Context Protocol. It allows AI assistants and other MCP clients to access and utilize Kiro's prompt engineering best practices.

Features

  • Resources: Access all Kiro system documentation files
  • Tools: Query and retrieve specific system instructions
  • Prompts: Pre-configured prompts for common Kiro workflows

Installation

Using uvx (Recommended)

uvx kiro-mcp-server

Using pip

pip install kiro-mcp-server

From source

cd mcp-server
pip install -e .

Usage

Configuration

Add to your MCP client configuration (e.g., Claude Desktop, Kiro):

{
  "mcpServers": {
    "kiro-prompts": {
      "command": "uvx",
      "args": ["kiro-mcp-server"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Or if installed locally:

{
  "mcpServers": {
    "kiro-prompts": {
      "command": "python",
      "args": ["-m", "kiro_mcp_server.server"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Available Resources

The server exposes the following Kiro system documentation:

  • kiro://system/complete-instructions - Complete Kiro system instructions
  • kiro://system/capabilities - Kiro capabilities and features
  • kiro://system/guidelines - Development guidelines
  • kiro://system/quality-standards - Quality standards
  • kiro://system/response-style - Response style guide
  • kiro://system/workflow-patterns - Common workflow patterns

Available Tools

  • get_system_instruction - Retrieve specific system instruction by type
  • search_instructions - Search across all system instructions
  • list_instructions - List all available instruction types

Available Prompts

  • kiro_assistant - Set up an AI assistant with Kiro's system instructions
  • code_review - Configure for code review with Kiro's standards
  • feature_development - Configure for feature development workflow

Development

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run the server locally
python -m kiro_mcp_server.server

License

See the main Kiro repository for license information.

Contributing

Contributions are welcome! Please see the main Kiro repository for contribution guidelines.