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Description
Problem: AI agents and developers currently struggle to discover and understand what MCP servers and tools are available in the KMCP ecosystem, leading to reduced adoption and inefficient development workflows.
Solution: Implement Agents.md as a standardized metadata format that describes MCP servers, their capabilities, and available tools in a machine-readable way.
Key Benefits:
- AI Agent Discovery - AI coding assistants can automatically discover available MCP servers and tools
- Enhanced CLI Experience - Users get intelligent suggestions and help when using kmcp commands
- Tool Ecosystem Growth - Developers can easily discover and integrate existing MCP tools
- Kubernetes Integration - AI agents can understand and manage MCP server deployments in clusters
- Developer Productivity - Faster onboarding and tool discovery for new MCP developers
- Implementation Scope: Add Agents.md generation to the kmcp init and kmcp add-tool commands, creating standardized metadata files that describe server capabilities, available tools, and integration patterns.
This feature would make KMCP more "AI-native" and significantly improve the developer experience for building and managing MCP servers.
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