Does my code leave my machine?

No, KodHau MCP runs locally and your code and PR data never leave your machine.

Which AI clients are supported?

It is compatible with any client that supports the Model Context Protocol, such as Cursor and Claude Code.

How does it know why a decision was made?

It scans closed PRs for architecture decisions, code review comments, and rejected approaches to understand the context behind the code.

KodHau MCP: Injects undocumented team tribal knowledge and PR history into AI coding agents.

Name: KodHau MCP
Rating: 5 (68 reviews)
Author: toolify

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Introduction:

Injects undocumented team tribal knowledge and PR history into AI coding agents.

Added on:

May 15 2026

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KodHau MCP Product Information

What is KodHau MCP?

KodHau MCP is a governance layer for AI agents designed to inject 'tribal knowledge' into development workflows. It acts as an MCP server that runs locally, scanning a team's PR history, architecture decisions, and undocumented review comments to provide context to AI tools like Cursor and Claude Code. By surfacing the 'why' behind existing code before an agent makes changes, it prevents AI from making naive or destructive suggestions that violate established institutional constraints.

How to use KodHau MCP?

Users install the KodHau MCP server locally and connect it to their preferred MCP client like Cursor or Claude Code. The tool automatically scans PR history to build a knowledge base, and developers use the 'kodhau_get_wisdom' tool within their AI agent to receive context before writing code.