mcp

What problem does it solve?

Developing and integrating intelligent agents with structured communication can be complex. This Skill provides comprehensive patterns for the Model Context Protocol (MCP), enabling you to build robust agents with structured tools, resources, authentication, and progress reporting, simplifying agent development and integration.

Core Features & Use Cases

• Structured Tools & Resources: Define and manage agent capabilities and data access with clear interfaces.
• Authentication & Progress: Implement secure agent interactions and provide real-time progress updates.
• Testing Strategies: Best practices for testing MCP servers and tools.
• Use Case: You need to create an AI agent that can perform specific database searches and report its progress. This Skill guides you through defining a structured search tool, implementing progress reporting, and securing your MCP server.

Quick Start

Basic MCP Server

from kailash.mcp_server import MCPServer server = MCPServer("my-agent-server") @server.tool() async def greet(name: str) -> dict: return {"message": f"Hello, {name}!"}

asyncio.run(server.run())