Merge pull request #8246 from dcondrey/add-scrivener-mcp

Add writerslogic/scrivener-mcp to Knowledge & Memory

README.md

@@ -2178,6 +2178,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [SecurityRonin/alaya](https://github.com/SecurityRonin/alaya) [![SecurityRonin/alaya MCP server](https://glama.ai/mcp/servers/SecurityRonin/alaya/badges/score.svg)](https://glama.ai/mcp/servers/SecurityRonin/alaya) 🦀 🏠 🍎 🪟 🐧 - Neuroscience-inspired memory engine for AI agents. Stores episodes, consolidates knowledge through a Bjork-strength lifecycle (strengthening, transformation, forgetting), and builds a personal knowledge graph with emergent categories, preferences, and semantic recall. Local SQLite, zero config, 10 MCP tools. Install via `npx alaya-mcp`.
 - [SecurityRonin/docx-mcp](https://github.com/SecurityRonin/docx-mcp) [![docx-mcp MCP server](https://glama.ai/mcp/servers/SecurityRonin/docx-mcp/badges/score.svg)](https://glama.ai/mcp/servers/SecurityRonin/docx-mcp) 🐍 🏠 🍎 🪟 🐧 - Read and edit Word (.docx) documents with track changes, comments, footnotes, and structural validation. The only MCP server combining w:ins/w:del tracked changes, threaded comments, and footnotes with OOXML-level paraId validation and document auditing. 18 tools, Python 3.10+.
 - [sheawinkler/ContextLattice](https://github.com/sheawinkler/ContextLattice) [![sheawinkler/ContextLattice MCP server](https://glama.ai/mcp/servers/sheawinkler/context-lattice/badges/score.svg)](https://glama.ai/mcp/servers/sheawinkler/context-lattice) 🏠 🍎 🪟 🐧 🦀 🏎️ - Private-by-default memory and context layer for agents with Go/Rust runtime, staged retrieval across fused data backends, and long-horizon context continuity.
+- [writerslogic/scrivener-mcp](https://github.com/writerslogic/scrivener-mcp) [![writerslogic/scrivener-mcp MCP server](https://glama.ai/mcp/servers/writerslogic/scrivener-mcp/badges/score.svg)](https://glama.ai/mcp/servers/writerslogic/scrivener-mcp) 📇 🏠 🍎 🪟 🐧 - Connect Scrivener 3 writing projects to Claude and other AI assistants. 47 tools for document management, writing analysis, semantic search, character/plot memory, and content enhancement. Progressive skill loading, relationship engine with HMS triplets, and JS fallback for offline semantic search. `npm i -g scrivener-mcp`
 - [shinpr/mcp-local-rag](https://github.com/shinpr/mcp-local-rag) 📇 🏠 - Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.
 - [ShipItAndPray/mcp-memory](https://github.com/ShipItAndPray/mcp-memory) [![ShipItAndPray/mcp-memory MCP server](https://glama.ai/mcp/servers/ShipItAndPray/mcp-memory/badges/score.svg)](https://glama.ai/mcp/servers/ShipItAndPray/mcp-memory) 📇 🏠 🍎 🪟 🐧 - Smart memory with exponential decay. Memories strengthen on access and fade when unused — solving the Karpathy problem of unbounded context growth. 7 tools, SQLite-based, zero dependencies.
 - [sgx-labs/statelessagent](https://github.com/sgx-labs/statelessagent) [![statelessagent MCP server](https://glama.ai/mcp/servers/sgx-labs/statelessagent/badges/score.svg)](https://glama.ai/mcp/servers/sgx-labs/statelessagent) 🏎️ 🏠 🍎 🪟 🐧 - Memory with provenance tracking — records where agent knowledge originated and detects when sources change. 17 MCP tools for session handoffs, decisions, semantic search, and knowledge graph. Works across Claude Code, Cursor, Windsurf, Codex CLI, and Gemini CLI. Single Go binary, SQLite + vector search, fully local.