Brainfork's original MCP (Memory-Context-Processing) protocol establishes a standardized communication framework between knowledge bases and AI tools. The protocol defines a three-layer interaction specification: the Memory layer handles encrypted knowledge retrieval, the Context layer maintains session state, and the Processing layer coordinates the workflow of AI tools. Developers can specify that only the ADR Decision Log module is visible when connecting to Cursor via an API key; product managers can precisely control which project documents can be referenced when configuring Claude access. This modularized design enables Brainfork to simultaneously interface with AI systems of different architectures, such as ChatGPT and Claude, demonstrating higher context-keeping capabilities in knowledge-intensive scenarios compared to general-purpose automation tools such as Zapier.
This answer comes from the articleBrainfork: MCP server for building personal AI knowledge platformsThe
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