Agent Tooling
How to engineer agent-grade tools — CLIs, MCP servers, and the contracts that let an agent operate a capability without guessing.
How to engineer agent-grade tools — CLIs, MCP servers, and the contracts that let an agent operate a capability without guessing.
Reusable concept note for Agent-Readable Conversion.
Decision checklist and adoption radar for MCP tool selection across agent teams
Choose the AI tools that bring value to a workflow — which model, which CLI, which MCP server — and when each one is worth adopting.
Reusable concept note for MCP Server Catalog.
How to build a Model Context Protocol server — architecture, the three primitives, transports, and the token economics that decide whether an agent can afford your tools.
Choose which MCP servers give agents the most value per token — adoption radar, team profiles, and the server catalogue.
How AI agents access external tools, data, and resources — the universal adapter between models and the world