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

Forget toy agents. This is your guide to the guts of AI agent frameworks, how to pick 'em, and how to build agentic systems that actually deliver.

Composing the future: an iron-clad analysis of AI agent architecture frameworks

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

Discover how Tidewave connects AI assistants to your web framework's runtime through MCP, enabling real-time interaction with your application. Learn about its features, benefits, and how to get started.

Understanding Tidewave.ai

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.

MCP authorization over SSE

Build a MCP client for Discord

An index and introduction to the mcp-playbook server documentation series, covering its purpose, setup, and operational flows. This collection helps you understand and leverage the tools for systematic knowledge management.

📚 MCP playbook

MCP playbook documentation

A detailed look into the mcp-playbook's internal code flow, data handling for chat logs and prompts, and interactions with GitHub repositories like prompt-db and prompt-log. This technical deep-dive helps developers understand the implementation details for debugging and extending functionality.

MCP playbook code flow

How data flows through the MCP playbook server, from MCP client requests to tool execution and interactions with the file system and GitHub. This overview helps you understand the architecture and system interactions for better troubleshooting and development.

MCP playbook data flow

Exploring the motivations behind the MCP Playbook, its role in establishing a dynamic runbook, and new patterns for capturing AI-generated knowledge like chat logs and prompts.

AI knowledge automation

A step-by-step tutorial on configuring and running the mcp-playbook server, including GitHub token creation and using npx. This guide helps you get started with automated documentation and knowledge management tools.

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