Merge pull request #1730 from HatmanStack/add-new-server

Add new Knowledge & Memory server

README.md

@@ -1013,6 +1013,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [graphlit-mcp-server](https://github.com/graphlit/graphlit-mcp-server) 📇 ☁️ - Ingest anything from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf or Cline.
 - [hannesrudolph/mcp-ragdocs](https://github.com/hannesrudolph/mcp-ragdocs) 🐍 🏠 - An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
 - [harrison/ai-counsel](https://github.com/harrison/ai-counsel) - 🐍 🏠 🍎 🪟 🐧 - Deliberative consensus engine enabling multi-round debate between AI models with structured voting, convergence detection, and persistent decision graph memory.
+- [HatmanStack/ragstack-mcp](https://github.com/HatmanStack/RAGStack-Lambda/tree/main/src/ragstack-mcp) 🐍 ☁️ 🍎 🪟 🐧 - MCP server for RAGStack serverless knowledge bases. Search, chat with AI-generated answers, upload documents/media, scrape websites, and analyze metadata through an AWS-powered RAG pipeline (Lambda, Bedrock, S3, DynamoDB).
 - [JamesANZ/cross-llm-mcp](https://github.com/JamesANZ/cross-llm-mcp) 📇 🏠 - An MCP server that enables cross-LLM communication and memory sharing, allowing different AI models to collaborate and share context across conversations.
 - [JamesANZ/memory-mcp](https://github.com/JamesANZ/memory-mcp) 📇 🏠 - An MCP server that stores and retrieves memories from multiple LLMs using MongoDB. Provides tools for saving, retrieving, adding, and clearing conversation memories with timestamps and LLM identification.
 - [jcdickinson/simplemem](https://github.com/jcdickinson/simplemem) 🏎️ ☁️ 🐧 - A simple memory tool for coding agents using DuckDB and VoyageAI.