KodHau MCP is a governance layer for AI agents that brings 'tribal knowledge' directly into your development workflow. It runs locally as an MCP server, scanning your team's PR history, architecture decisions, and undocumented review comments to give AI tools the context they would otherwise miss.
Instead of letting an agent guess, KodHau MCP surfaces the 'why' behind existing code before any changes are made. By feeding this context into tools like Cursor and Claude Code, it helps prevent AI from producing naive or destructive suggestions that violate established institutional constraints.
Subscribe to get the latest KodHau MCP and global AI updates.
Comments
Loading comments…