Sharing and propogating team knowledge and practices through LLM and MCP automation.

MCP Playbook Mastery

Multi-MCP data integration - receiving data from other MCP servers

This guide explores implementing robust authorization for Model Context Protocol (MCP) over Server-Sent Events (SSE) transport, providing a standardized framework for secure AI-to-tool communication while maintaining vendor independence.

Securing your remote MCP servers

A comprehensive guide to implementing granular access control for Model Context Protocol (MCP) servers, allowing organizations to securely expose tool capabilities based on user roles and permissions while maintaining data privacy.

Tool-level security for remote MCP servers

Explore Anthropic's Model Context Protocol (MCP) - a groundbreaking approach to enhancing AI assistants. Learn how MCP integrates with local and remote resources, enabling smarter interactions with tools and databases.

Intro to model context protocol

This page outlines how developers can connect to and utilize Brainery's extensive knowledge base and AI-driven capabilities. By integrating a straightforward MCP configuration, you can seamlessly access powerful insights directly within your existing development tools and workflows.

Access the brainery

How data flows through Brainery's second brain system, from Discord, Memo Blog, and GitHub sources to TimescaleDB via MCP, with an LLM-powered interface for natural language queries.

Data flow in Brainery

Explore how we solved the catastrophic forgetting problem in LLMs by building an external knowledge system that mimics learning through context manipulation, without touching the model's parameters.

Build a brain that never forgets

A Request for Comments (RFC) detailing a comprehensive specification for implementing OAuth 2.1 authorization within the Model Context Protocol (MCP) when using Server-Sent Events (SSE) as the transport mechanism, ensuring vendor-neutral security for AI-to-tool communication.

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