Mind Keg MCP Server

Example Use Cases

• 1

  Retain and recall atomic, actionable coding insights across sessions.

• 2

  Semantic or keyword search over curated learnings scoped by repository, workspace, or globally.

• 3

  That require enterprise security features like encryption, audit logging, and rate limiting.

Description

Mind Keg MCP provides a centralized, persistent knowledge base for AI coding agents, enabling them to retain debugging insights, architectural decisions, and codebase conventions across sessions. It implements a Retrieval-Augmented Generation (RAG) pattern with semantic and keyword search, supporting multiple embedding providers and scoped learnings. The server offers enterprise-grade security features including encryption at rest, audit logging, rate limiting, and content integrity verification, enhancing agent collaboration and reducing repeated mistakes.