diff --git a/README.md b/README.md
index b2a7908b9..10fda3dc6 100644
--- a/README.md
+++ b/README.md
@@ -2738,6 +2738,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [Schubeler-Consulting/knowmind](https://github.com/Schubeler-Consulting/knowmind) [![Schubeler-Consulting/knowmind MCP server](https://glama.ai/mcp/servers/Schubeler-Consulting/knowmind/badges/score.svg)](https://glama.ai/mcp/servers/Schubeler-Consulting/knowmind) 📇 ☁️ - AI agent memory and knowledge graph, hosted in Germany (GDPR-compliant). Hybrid recall (BM25 + vector + Neo4j graph hops with cross-encoder rerank), typed relations, and bi-temporal store across sessions via MCP. Works with Claude, ChatGPT, and Cursor. `npx -y knowmind mcp`
 - [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+.
+- [setheerwagen/mcp-modelmanager](https://github.com/setheerwagen/local-ai-mcp-servers/tree/main/mcp-modelmanager) [![setheerwagen/local-ai-mcp-servers MCP server](https://glama.ai/mcp/servers/setheerwagen/local-ai-mcp-servers/badges/score.svg)](https://glama.ai/mcp/servers/setheerwagen/local-ai-mcp-servers) 🐍 🏠 - Manage a local model machine: pull/remove Ollama models, switch the inference service between models, and run LoRA fine-tuning jobs. `pip install mcp-modelmanager`
 - [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.