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Update entry: rename zotero-mcp to annota

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@@ -1486,7 +1486,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [darktw/usecortex-mcp](https://github.com/darktw/usecortex-mcp) [![darktw/usecortex-mcp MCP server](https://glama.ai/mcp/servers/darktw/usecortex-mcp/badges/score.svg)](https://glama.ai/mcp/servers/darktw/usecortex-mcp) ☁️ - Persistent knowledge memory for AI agents. Two-way flow: read context into projects and write discoveries back. Structured by topic with AES-256 encryption.
- [decisionnode/DecisionNode](https://github.com/decisionnode/DecisionNode) [![decisionnode/DecisionNode MCP server](https://glama.ai/mcp/servers/decisionnode/DecisionNode/badges/score.svg)](https://glama.ai/mcp/servers/decisionnode/DecisionNode) 📇 🏠 🍎 🪟 🐧 - Record development decisions as structured JSON, embed as vectors via Gemini, and search semantically over MCP. Shared store across Claude Code, Cursor, Windsurf, and any MCP client. CLI + MCP server, local-only, free Gemini embedding tier.
- [Destrayon/Connapse](https://github.com/Destrayon/Connapse) [![Destrayon/Connapse MCP server](https://glama.ai/mcp/servers/Destrayon/Connapse/badges/score.svg)](https://glama.ai/mcp/servers/Destrayon/Connapse) #️⃣ 🏠 🍎 🪟 🐧 - Self-hosted knowledge backend for AI agents with hybrid vector + keyword search, container-isolated indexes, and 11 MCP tools. .NET, Docker-ready.
- [dengls24/zotero-mcp](https://github.com/dengls24/zotero-mcp) 📚 🤖 - AI-powered Zotero PDF annotation server. Reads papers, highlights key findings with semantic color coding, explains formulas, and writes structured reading notes — all saved back to Zotero. Features two-phase workflow for large PDFs (63–80% context savings) and batch annotations.
- [dengls24/annota](https://github.com/dengls24/annota) 📚 🤖 - AI-powered paper annotation MCP server. Reads papers, highlights key findings with semantic color coding, explains formulas, and writes structured reading notes — all saved back to Zotero. Features two-phase workflow for large PDFs (63–80% context savings) and batch annotations.
- [deusXmachina-dev/memorylane](https://github.com/deusXmachina-dev/memorylane) 📇 ☁️ 🏠 🍎 - Desktop app that captures screen activity via event-driven screenshots, stores AI-generated summaries and OCR text locally in SQLite, and exposes your activity history to AI assistants via MCP with semantic search, timeline browsing, and event detail retrieval.
- [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.
- [doobidoo/MCP-Context-Provider](https://github.com/doobidoo/MCP-Context-Provider) 📇 🏠 - Static server that provides persistent tool-specific context and rules for AI models