A repository only creates value if it is used. KONTEX makes application knowledge accessible to architects, developers, business experts, project leads, application owners, and AI agents. Each use case receives the right format: natural-language question, filtered view, graph, detailed record, documentary registry, MCP context, or API integration. Answers remain linked to sources and validations.
MCP for Coding Assistants
Give coding assistants precise context, not a full folder.
KONTEX exposes useful knowledge through MCP for development environments and coding assistants.
The agent receives rules, dependencies, decisions, and points of attention tied to the scope being worked on. This approach avoids drowning AI in entire documentation or code repositories. Context is prepared, targeted, and linked to verifiable sources.
Context for AI Agents
Give AI agents a reliable, governed working base.
AI agents can help plan, analyze, review, or produce deliverables.
But their effectiveness depends on the quality of the context they consume. KONTEX provides qualified application knowledge: validated facts, areas of uncertainty, dependencies, sources, history, and scope rules. The value is making your AI more reliable because it works from a controlled base.
Documentary Registry for Business Teams
Make application behavior readable for business teams.
KONTEX can produce documentary and functional views for business teams: rules, processes, behaviors, exceptions, dependencies, and past decisions.
Users can query the repository in natural language, consult associated sources, and contribute to validations. This business view supports change framing and understanding of application constraints.
