AI
Saphira Linux aiDragon
A practical Saphira workspace for AI agents: your code, services, databases and tools stay under your control, while the model can run wherever it works best.
In testing, functionality present — helpers missing
MCP: controlled tools and context
Model Context Protocol (MCP) gives an agent controlled tools and sources of context beyond the basic conversation. An MCP server can expose filesystem access, Git and project information, databases, documentation, development tools, infrastructure information and persistent memory. It is a way to make an agent useful without handing it an unstructured pile of credentials.