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Merge pull request #3693 from h4x0r/add-docx-mcp

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Add SecurityRonin/docx-mcp server 🤖🤖🤖
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Frank Fiegel
2026-03-23 00:12:55 -06:00
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@@ -1371,6 +1371,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [roomi-fields/notebooklm-mcp](https://github.com/roomi-fields/notebooklm-mcp) [![notebooklm-mcp MCP server](https://glama.ai/mcp/servers/@roomi-fields/notebooklm-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@roomi-fields/notebooklm-mcp) 📇 🏠 🍎 🪟 🐧 - Full automation of Google NotebookLM — Q&A with citations, audio podcasts, video, content generation, source management, and notebook library. MCP + HTTP REST API.
- [rushikeshmore/CodeCortex](https://github.com/rushikeshmore/CodeCortex) [![codecortex MCP server](https://glama.ai/mcp/servers/@rushikeshmore/codecortex/badges/score.svg)](https://glama.ai/mcp/servers/@rushikeshmore/codecortex) 📇 🏠 🍎 🪟 🐧 - Persistent codebase knowledge layer for AI coding agents. Pre-digests codebases into structured knowledge (symbols, dependency graphs, co-change patterns, architectural decisions) via tree-sitter native parsing (28 languages) and serves via MCP. 14 tools, ~85% token reduction. Works with Claude Code, Cursor, Codex, and any MCP client.
- [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+.
- [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.
- [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.
- [l33tdawg/sage](https://github.com/l33tdawg/sage) [![s-age MCP server](https://glama.ai/mcp/servers/l33tdawg/s-age/badges/score.svg)](https://glama.ai/mcp/servers/l33tdawg/s-age) 🏎️ 🏠 🍎 🪟 🐧 - Institutional memory for AI agents with real BFT consensus. 4 application validators vote on every memory before it's committed — no more storing garbage. 13 MCP tools, runs locally, works with any MCP-compatible model. Backed by 4 published research papers.