Tag: mcp

A practical 2026 map of AI agent frameworks by infrastructure primitive: orchestration, tools, state, multi-agent delegation, approvals, observability, evaluation, and deployment.

Outcome: Reframed agent-framework selection away from tier lists and toward an operating contract for which primitives the framework owns, which ones the team must own, and where bespoke orchestration is still justified.

A practical guide to running MCP servers locally, choosing affordable clients, and deploying private open models with Cloud Run, Ollama, and Open WebUI.

Outcome: Separated local agent tool access from private model serving, then defined a safer setup for MCP clients, local servers, and Cloud Run GPU sidecars.

A Confluence-ready guide for designing durable HTTP APIs and wrapping them safely as Model Context Protocol servers.

Outcome: Turned general API design guidance into a practical standard for HTTP APIs that back MCP servers, with current protocol corrections, checklists, and source links.

Why Codex plugins point toward a different software design mindset: fewer UI extensions, more safe agent capabilities, system access points, and operational boundaries.

Outcome: Framed plugins as reusable agent capability bundles that require structured systems, permissions, predictable workflows, and safer operational surfaces.