From 1a7d27c411d128394d16f4127b4ee7507ce7815e Mon Sep 17 00:00:00 2001
From: Nehal Gala <225156671+lovenehal@users.noreply.github.com>
Date: Thu, 4 Sep 2025 14:12:40 -0400
Subject: [PATCH] Add new context-awesome server

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 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 9683fd1e..6f769c25 100644
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@@ -756,6 +756,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 
 - [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
 - [apecloud/ApeRAG](https://github.com/apecloud/ApeRAG) 🐍 ☁️ 🏠 - Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering
+- [bh-rat/context-awesome](https://github.com/bh-rat/context-awesome) 📇☁️🏠 - MCP server for querying 8,500+ curated awesome lists (1M+ items) and fetching the best resources for your agent.
 - [chatmcp/mcp-server-chatsum](https://github.com/chatmcp/mcp-server-chatsum) - Query and summarize your chat messages with AI prompts.
 - [CheMiguel23/MemoryMesh](https://github.com/CheMiguel23/MemoryMesh) 📇 🏠 - Enhanced graph-based memory with a focus on AI role-play and story generation
 - [entanglr/zettelkasten-mcp](https://github.com/entanglr/zettelkasten-mcp) 🐍 🏠 - A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, and search atomic notes through Claude and other MCP-compatible clients.