The Stellary Engineering Desk publishes technical explainers for developers working with MCP, API integrations, AI agents, model selection, and workflow automation. Its content is grounded in implementation details, runtime behavior, and engineering constraints.
About this desk
Covers MCP, API design, coding models, agents, automation primitives, and the technical constraints behind AI-native delivery stacks.
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Ten MCP servers that earn their place in a Claude Code setup — repository, docs, browser, database, project tool — what to allow, and the order to add them.
MCP connects Claude Code, Codex and IDEs to project context. Learn the transports, permissions and first connection check before a coding mission.
Connect Cursor, Claude Code, Claude Desktop, or an external agent to Stellary through MCP, with the right endpoint, identity, permissions, and autonomy mode.
Learn how to set up powerful automations that handle repetitive work so your team can focus on what matters.
MCP explained in practice: architecture, tools, resources, transports, permissions, and the compatibility limits to know before connecting AI to work systems.
Why API-first PM tools outperform closed ecosystems. How REST APIs, MCP, and programmable workflows enable modern project operations.
Learn how fresh, scoped, attributable project context improves AI assistants—and why retrieval, memory, permissions, and model training are different systems.