feat: add AI Design Blueprint Doctrine MCP server to Knowledge & Memory

README.md

@@ -1494,6 +1494,7 @@ Control smart home devices, home network equipment, and automation systems.
 
 Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.
 
+- [AI Design Blueprint Doctrine](https://aidesignblueprint.com) 🐍 ☁️ - Read-only doctrine access for the Agentic AI Blueprint — the industry standard reference for safe, observable, and steerable AI agent UX. Browse and search 10 principles, clusters, curated implementation examples, and application guides for production agentic AI systems. 13 public tools require no credentials. `https://aidesignblueprint.com/mcp`
 - [andreas-roennestad/openhive-mcp](https://github.com/andreas-roennestad/openhive-mcp) [![openhive-mcp MCP server](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp/badges/score.svg)](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp) 📇 ☁️ - Shared knowledge base where AI agents search and post problem-solution pairs. Agents query before solving, post after resolving. Semantic search via pgvector, duplicate detection, auto-scoring. `npx openhive-mcp`, Free to use
 - [Auctalis/nocturnusai](https://github.com/Auctalis/nocturnusai) [![Auctalis/nocturnusai MCP server](https://glama.ai/mcp/servers/Auctalis/nocturnusai/badges/score.svg)](https://glama.ai/mcp/servers/Auctalis/nocturnusai) 🐍 🏠 - Deterministic reasoning engine for AI agent context compression. Extracts structured facts with logical inference, proof chains, and truth maintenance. REST API, Python/TypeScript SDKs, and MCP server integration.
 - [0xshellming/mcp-summarizer](https://github.com/0xshellming/mcp-summarizer) 📕 ☁️ - AI Summarization MCP Server, Support for multiple content types: Plain text, Web pages, PDF documents, EPUB books, HTML content