From ab5eae095e3b4735a9acb8ce4d0c34434073cd86 Mon Sep 17 00:00:00 2001
From: Pushkaraj Kulkarni <107422421+thepushkaraj@users.noreply.github.com>
Date: Wed, 14 Jan 2026 00:43:24 +0530
Subject: [PATCH] Add ContextMCP to Knowledge & Memory section

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

diff --git a/README.md b/README.md
index 6d0f63b6..c870c489 100644
--- a/README.md
+++ b/README.md
@@ -917,6 +917,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [contextstream/mcp-server](https://www.npmjs.com/package/@contextstream/mcp-server) 📇 ☁️ 🍎 🪟 🐧 - Universal persistent memory for AI coding tools. Semantic code search, knowledge graphs, impact analysis, decision tracking, and 60+ MCP tools. Works across Cursor, Claude Code, Windsurf, and any MCP client.
 - [cameronrye/openzim-mcp](https://github.com/cameronrye/openzim-mcp) 🐍 🏠 - Modern, secure MCP server for accessing ZIM format knowledge bases offline. Enables AI models to search and navigate Wikipedia, educational content, and other compressed knowledge archives with smart retrieval, caching, and comprehensive API.
 - [CheMiguel23/MemoryMesh](https://github.com/CheMiguel23/MemoryMesh) 📇 🏠 - Enhanced graph-based memory with a focus on AI role-play and story generation
+- [dodopayments/contextmcp](https://github.com/dodopayments/context-mcp) 📇 ☁️ 🏠 - Self-hosted MCP server that indexes documentation from various sources and serves it to AI Agents with semantic search.
 - [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.
 - [GistPad-MCP](https://github.com/lostintangent/gistpad-mcp) 📇 🏠 - Use GitHub Gists to manage and access your personal knowledge, daily notes, and reusable prompts. This acts as a companion to https://gistpad.dev and the [GistPad VS Code extension](https://aka.ms/gistpad).
 - [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.